Database Training Courses

In this Introduction to Machine Learning course, you'll create and train models using no-code solutions, drag-and-drop tools, prepare and analyze data, and explore ready-to-use models for various tasks.

No Code Machine Learning, Data Evaluation, Prediction, Analysis, Optimization, Non-Technical Users, Technical Data Users, Business Analysts, Data Scientists, Data Engineers, In-Person Training, Online Training, Machine Learning Models, Drag-and-Drop Tools, Data Preparation, Data Analysis, Pre-built Pipelines, Algorithms, Natural Language Processing, Computer Vision, Clustering Models, Regression Models, Classification Models, Microsoft Azure, Amazon AWS, Datasets, Machine Learning Platforms, Visual Tools, Point-and-Click Tools, Training Models, Machine Learning Use Cases, Numeric Value Prediction, Item Categorization, No Coad Machine Lerning, Data Evalution, Predikshon, Analyzis, Optimezation, Non-Technikal Users, Teknical Data Usars, Bisness Analysts, Datta Scintists, Data Engeneers, In-Persun Training, Onlein Training, Mashine Learning Modles, Drag-and-Droop Toools, Data Preparashon, Data Analyzis, Pre-bilt Pipelins, Algorithems, Natchural Language Procesing, Computor Vizion, Clusturing Modals, Regreshion Modles, Classificashun Modles, Microsoft Azur, Amazun AWS, Datasits, Mashine Lerning Platfarms, Vizual Toools, Point-and-Clik Toools, Training Modles, Mashine Lerning Uce Cases, Numeric Valeu Prediction, Itum Categorizashon, No Code Machine Learning, Datautvärdering, Prediktion, Analys, Optimering, Icke-tekniska Användare, Tekniska Dataanvändare, Affärsanalytiker, Dataforskare, Dataingenjörer, Utbildning På Plats, Onlineutbildning, Maskininlärningsmodeller, Dra-och-Släpp-Verktyg, Datapreparering, Dataanalys, Förbyggda Pipelines, Algoritmer, Naturlig Språkbehandling, Datorseende, Klustermodeller, Regressionsmodeller, Klassificeringsmodeller, Microsoft Azure, Amazon AWS, Dataset, Maskininlärningsplattformar, Visuella Verktyg, Pek-och-Klicka-Verktyg, Träna Modeller, Användningsfall för Maskininlärning, Prediktion av Numeriska Värden, Kategorisering av Föremål

This hands-on introduction takes you on a transformative journey from raw data to invaluable insights, leveraging the power of data and AI.

Introduction to Big Data, Big Data training, data science training, store data, manage data, process data, analyze data, structured data, unstructured data, meaningful insights, live training, instructor-led training, on-demand training, blended training, output, tool, skills, massive amounts, real business gain, Big Data traning, data scinece training, strucutred data, unstrucutred data, meaingful insights, live trining, on-deman training, instrctor-led training.

Join our hands-on 3-day course to build practical skills in NLP and Generative AI training to develop advanced AI models like ChatGPT from OpenAI.

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Master AI in cybersecurity attack and defense. Dive into AI's role in cybersecurity. Boost your skills now!

nist ai risk management framework, security information and event management, natural language processing course, team training, cyber security, machine learning, learning tree, federated learning, risk assessment and management, security automation, security teams, artificial intelligence ai, wide range, security information and event, information and event management, open source, training data, machine learning algorithms, sensitive data, volumes of data, security solutions, driving cars, data breach, deep neural networks, cyber threats, threat hunting, log data, training models, large scale, mobile devices, AI cybersecurity, attack, defend, training, course, AI cybersäkerhet, attack, försvar, utbildning, kurs

Learn data science fundamentals with Python and Jupyter. Hands-on projects, real datasets, and interactive visualizations.

Applied Data Science, Python, Jupyter, Anaconda, machine learning, datasets, data processing, pipelines, visualizations, prediction models, skills, real world, professions, industries, open source, Notebooks, programming fundamentals, experience, libraries, Pandas, Matplotlib, scikit-learn. Apliced, DatA syenc, Jupitar, Anacodna, machin larning, data sets, visulizations, programing, Pandes, Maplotlib, scikit, sklearn.

This AI ML Data Science Python course teaches you how to use Python libraries to build, evaluate, & deploy Machine Learning & Artificial Intelligence models.

Introduction to Data Science, Machine Learning & AI using Python, CHAT GPT, , CHAT , CHAT GPTT, AI ML Data Science Python Course, Data Science, Python, Machine Learning, Artificial Intelligence, Course, Training, Libraries, Build, Evaluate, Deploy, Models, Insights, Data, Lifecycle, Manage, Transform, Visualize, Raw Data, Predictive Models, Future Opportunities, Mis-spellings Datascience, Pyton, Machin Learnin, Artifical Intelligance, Traning, Libaries, Insigts, Lyfecycle, Manag, Transfrm, Vizualize, Predective, Modles.

In this Introduction to Julia Programming for Artificial Intelligence course, learn the fundamentals of coding in Julia.

CHAT GPT, , CHAT , CHAT GPTT, Julia programming, machine learning, artificial intelligence, development environment, high performance, scripting environment, Python, compiled languages, C, Fortran, coding, programming techniques, cutting-edge, fundamentals, algorithms, AI, ML, Juila programming, masheen learning, artifical inteligence, devlopment environment, high performence, scriping environment, Pyton, compiled langauges, C, Fortan, codng, programming techniqus, cuting-edge, algorithims, A.I., M.L.

Work with time series data and R statistical modeling language in the Time Series Analysis Using R course.

r, Microsoft r, time series, data points, chronologically, finance, stock prices, marketing, new customers, sales, health, infections, deaths, science, earthquakes, analysis, R, statistics, forecasting, trend analysis, seasonality, autocorrelation, time sereis, dat apoints, financ, stalk prices, markeitng, helth, infetions, deths, scienc, eartquakes, analisys, Ahr, stattistics, forcasting, treand analysis, seasonaltiy, autocorellation, r, Microsoft r, time series analysis, R, chronologically, finance, stock prices, marketing, new customers, sales, health, infections, deaths, science, earthquakes, data points, contexts, trends, forecasting, modeling, seasonality, autocorrelation, outliers, time serie analysis, time series analisys, R programming, stock price analysis, sales trend analysis, health data analysis, earthquake forecasting, time series modeling. tidsserieanalys, R, kronologiskt, finans, aktiepriser, marknadsföring, nya kunder, försäljning, hälsa, infektioner, dödsfall, vetenskap, jordbävningar, datapunkter, sammanhang, trender, prognoser, modellering, säsongsvariation, autokorrelation, avvikande värden, stavfel tidsserieanalys, tidsserieanalys, R-programmering, analys av aktiepriser, analys av försäljningstrender, analys av hälsodata, prognos av jordbävningar, tidsseriemodellering.

Learn NLP techniques & neural network architecture selection in this course on Natural Language Processing.

CHAT GPT, CHAT, CHATGPT, GPT, CHATGPTT, Bard, Bings AI Chat Bot, AI Chat Bot, AI ChatBot, Chat Bot, ChatBot, Natural Language Processing, NLP, text pre-processing, neural network, deep learning, language modeling, sentiment analysis, text classification, word embedding, tokenization, syntax analysis, analysis, machine learning, artificial intelligence, data mining, information retrieval, text mining, information extraction, named entity recognition, topic modeling, mispelling Natural Langage Processing, NLP, deep learningg, languge modeling, sentiment anlysis, text classifcation, word embeding, tokennization, syntax anlysis, semntic analysis, machne learning, artficial intelligence, data minig, information retrival, text minig, information extractin, named entitiy recognition, topic modling, , part-of-speech taggin, steming, tokeniztion. Naturlig språkbehandling, NLP, textförbehandling, neural nätverksarkitektur, djupinlärning, maskininlärning, datamining, informationsåtervinning, sentimentanalys, textklassificering, textklustering, textsummering, stavkontroll, språkmodellering, namngiven enhetsigenkänning, ordklassificering, stamning, tokenisering, stavfel Naturlig Langage Processing, NLP, texförbehandling, neural nätverksarkitektur, djupinlärning, maskininlärning, datamining, informationsåtervinning, sentimentanalys, texklassificering, texklustering, texsummering, speelkontroll, språkmodellering, namngiven enhetigenkänning, ordklassificering, stamning, tokenisering.

This Data Analytics Introduction provides a clear understanding of data analytics's purpose, tools, and techniques.

data analytics, data analysis, data strategy, digital strategy, data tools, data techniques, data planning, data value, data understanding, data evolution, data organization, data employees, data attendees, dat analytics, data analitics, data strtategy, digital strtategy, data toos, data techniqus, data planing, data valu, data undrstanding, data evoluation, data orgnization, data employes, data atteendees.

Learn to use and communicate data effectively with our Data Literacy Training. No prerequisites. Join professionals from all fields.

Introduction, Data literacy, Training, Read, Use, Understand, Communicate, Information, Organizational level, Comprehend, Drive value, Workforce, knowledge, Conversations, Course, Interpret, Enterprise data, Trusted insights, Execution, Role, Organization, Mis-spellings Datta literacy, Trainning, Comprehence, Excecuttion, Orginization

This 1-day introduction to Data Management Tools, provides the knowledge & skills to make effective Machine Learning and AI business & technical decisions.

Big Data, big data technologies, big data trends, big data insights, data solutions, big data platforms, big data tools, big data adoption, technical decisions, business decisions, big data deployment, data analytics, data processing, data management, data warehousing, data visualization, data science, database management, modern data management, data engineering, data architecture, data mining, data security, big dta, big dat, big date, big ata, big dat a, big dataa, Big Data, Data Analytics, Data Science, Data Management, Data Warehousing, Data Mining, Data Insights, Data Trends, Big Data Platforms, Big Data Tools, Big Data Technologies, Big Data Solutions, Big Data Adoption, Big Data Deployment, Business Intelligence, Data-driven Decision Making, Data-driven Insights, Data-driven Strategies, Mis-spellings Big Dta, Big Dataa, Data Anlytics, Data Sceince, Data Managment, Data Warehosing, Data Mning. Stora data, dataanalys, datavetenskap, datahantering, datalagring, datamining, datainsikter, datatrender, stora dataplattformar, stora dataverktyg, stora datateknologier, stora datasolutions, stora dataanvändning, stora datadeployment, affärsintelligens, datadriven beslutsfattande, datadrivna insikter, datadrivna strategier, stavfel Stor Dta, Stor Dataa, Data Anlytics, Data Sceince, Data Managment, Data Warehosing, Data Mning.

Learn Python for data analytics: clean, manipulate, and mine data. Evaluate model performance with numpy, pandas, scipy, and scikit-learn.

Python, data analytics, programming, statistical computing, numPy, Pandas, sciPy, Scikit-learn, business questions, eBooks, on-demand courses, instructor-led course, review sessions, pyton, dat analytics, programing, statstical computing, numpy, pandas, scypy, scikit learn, busines questions Python, data analytics, programming, statistical computing, NumPy, Pandas, SciPy, Scikit-learn, business questions, eBooks, on-demand courses, instructor-led course, review sessions, Python, data analytics, programming, statistical computing, NumPy, Pandas, SciPy, Scikit-learn, business questions.

Learning Tree's Azure AI Fundamentals training provides fundamental concepts related to artificial intelligence in Microsoft Azure to create AI solutions.

AI900, CHAT GPT, CHAT , CHAT GPTT, Microsoft Azure AI Fundamentals, AI-900, artificial intelligence, AI solutions, data scientists, software developers, AI workloads, Azure services, hands-on exercises, Learn modules, reference materials, explore topics, typical AI workloads, Microsoft Azure, build awareness, create AI solutions, , , s.

Join our 5-day AI-102 course to master AI applications using Azure AI Foundry, OpenAI, and more. Ideal for software developers proficient in C# or Python.

AI102, CHAT GPT, CHAT , CHAT GPTT, Microsoft Azure, AI-102, Azure Cognitive Services, Azure Cognitive Search, Microsoft Bot Framework, C#, Python, JSON, REST, computer vision, language analysis, knowledge mining, intelligent search, conversational AI, training, software developers, programming language, APIs, deployment, managing, AI solutions, knowledge, navigation, Microsft Azuer, AI102, Azure Cogntive Services, Azure Cogntive Search, Micrsoft Bot Framework, C sharp, Pyton, JSon, REST programming, computer vison, launguage analsis, inteligent search, converational AI, trainning, software developpers, programming langauge, API, deploying, managin, AI solutons, knowlege, navigatoin.

This hands-on Introduction to Artificial Intelligence course will introduce you to the key concepts in modern AI and discuss how they apply to you and your business.

Introduction to AI,Key concepts in modern AI,Hands-on AI,Challenges of AI adoption,Artificial Intelligence Training,Confidence in AI,Artificial Intelligence for businesses,Machine learning,Uniform decision-making,Deep learning,Interpret images,AI limitations,AI risks,Module 1,What is Artificial Intelligence?,AI terms,AI technologies,AI constraints,AI limitations,Define intelligence,Module 2,Machines that learn,Machine learning,Benefits of AI,AI best practices,AI effectiveness,Module 3,Image recognition,Neural networks,Teaching neural networks,Classify complex images,Module 4,Chatbots,Generative AI,AI applications,Generative AI potential,Module 5,Protecting AI Systems,AI security,AI risks,Protecting your business,Protecting your privacy,Module 6,AI society and ethics,Biases in AI,Ethical use of AI,AI impact on society,Business context of AI,Module 7,The future of AI,AI threat on humanity,Future of work,AI in business future, Introduktion till AI,Nyckelkoncept inom modern AI,Hands-on AI,Utmaningar med AI-adoption,Artificiell Intelligensutbildning,Självförtroende i AI,Artificiell intelligens för företag,Maskininlärning,Uniformt beslutsfattande,Djupinlärning,Tolkning av bilder,AI begränsningar,AI risker,Modul 1,Vad är artificiell intelligens?,AI-termer,AI-teknologier,AI-begränsningar,AI-begränsningar,Definiera intelligens,Modul 2,Maskiner som lär sig,Maskininlärning,Fördelar med AI,AI bästa praxis,AI effektivitet,Modul 3,Bildigenkänning,Neurala nätverk,Undervisa neurala nätverk,Klassificera komplexa bilder,Modul 4,Chattbots,Generativ AI,AI-applikationer,Generativ AI potential,Modul 5,Att skydda AI-system,AI-säkerhet,AI risker,Skydda ditt företag,Skydda din integritet,Modul 6,AI, samhälle och etik,Bias inom AI,Etisk användning av AI,AI:s påverkan på samhället,Affärssammanhang av AI,Modul 7,AI:s framtid,AI-hot mot mänskligheten,Framtiden för arbete,AI i affärsframtid

This 1-hour ChatGPT for Business Users: On-Demand course will explore Conversational AI and develop your own Prompt Engineer to streamline prompt creation and ensure accurate responses.

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In this Graph Databases for Data Analytics and AI Training course, you will learn how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases.

In this Graph Databases for Data Analytics and AI Training course, you will learn how databases for graph data can support data analytics and artificial intelligence in ways not practical with traditional relational databases. You will see practical and profitable use cases and understand the importance of graph data in today’s world. You will master the practical aspects of importing and exporting data for graph databases, and how graph databases are searched and queried. Graph databases are also ideal for the representation of human knowledge, not just simple facts. You will understand how knowledgebase graphs integrate with artificial intelligence systems and learn to use these systems to provide business analyses and insights. Why Graph Databases are Important Objectives: • Understand what graph data is and why it is important • Explore a few or the many practical applications of graph databases Contents: • What are graphs? • How graphs are used to provide structure to data • Business use-cases of graph databases Module 2: Foundations of Graphs and Graph Data Objectives: • Storing graph data in simple files • What is a relational database? • How graph databases differ from traditional relational databases Contents: • How graphs are used to provide structure to data o Graph software • Graph data in files o File format alternatives o Scripts for manipulating and characterising graph data • Diagramming graphs o Diagramming graphs with Python o Using GraphViz software Module 3: Graph Database Platforms Objectives: • Examine commercial graph database systems • Understand the differences among graph database systems Contents: • Options for graph database systems • Introduction to Neo4j • Introduction to GraphDB • Introduction to CogniPy Module 4: Querying and Analysing Graph Data Objectives: • Learn how to query data in a graph database • Understand the differences among graph database query languages Contents: • Using the Neo4j browser • The Cypher® graph query language o Structure of Cypher® queries o Viewing and interpreting query results • Other graph query languages • GraphQL • Gremlin • SPARQL Module 5: Using Graph Database APIs to Build Systems Objectives: • Understand how APIs are used to build a system • Explore some examples using Python Contents: • Using Python to manage and query a Neo4j graph database • How graphs are used to provide structure to data Module 6: Knowledge Graphs Objectives: • Learn how human knowledge can be represented in graph data using semantic nets • Create a simple knowledge graph • Understand ontologies Contents: • Semantic nets and the Resource Description Framework (RDF) o Formats for representing RDF triples • Ontologies o The structure of ontology documents o Tools for creating and editing ontologies o Protege and other Tools • Semantic Nets and Knowledge graphs o Loading knowledge graphs into a graph database o Applying logic-based “reasoners” to knowledge graphs Module 7: Graph Neural Networks Objectives: • Understand the Need for “Hybrid” AI • Applying convolutional neural networks to graph data Contents: • “Hybrid” AI o Creating graph neural networks • Applying convolutional neural networks to graph data o Review the basics of convolutional neural networks o Training the hybrid AI

In this Automating Prompt Engineering with Python Training, you will use the latest and most powerful python and LangChain tools to unlock sustainable business value and get the most value out of artificial intelligence.

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debugging, readiness, production, Day 4, theory, templates, Creating, effective, Injecting, dynamic data, Storing, outputs, vector databases, scaling, Day 5, Commercial, Use Cases, Assessment, Real-world, Hands-on workshop, solving, sample, challenges, Developing, end-to-end, Presentations, review, Capstone assessment, new, future applications, 5-dagars, Automatisering, Prompt Engineering, Python, banbrytande, artificiell intelligens, senaste, kraftfull, LangChain, automatisera, agenter, kreativ ambition, kontrollerat ansvar, hållbar, affärsvärde, Utbildningsleveransmetoder, Personligen, Online, Utbildningsinformation, Fördelar, bästa praxis, stora språkmodeller, ramverk, tekniker, prompt-mallar, kedjor, vektorembeddingar, automatiserade AI-verktyg, offentliga data, autonom, praktisk, realtid, konkurrentanalys, dynamisk marknadsföring, insiktsfull, rekrytering, industrier, Förkunskapskrav, skriva, köra, grundläggande Python-skript, principer, bibliotek, API-anrop, Arbetskunskap, skriva prompts, chattmodeller, olika, AI-utdata, AI-genererade, konversationer, hallucinationer, Utbildningsöversikt, Dragspel, fäll ner rubrik, Introduktion, Varför, nödvändig, avancerad, översikt, verktyg, LLM, sökning, retrievers, Frågeformulering, djupdykning, I detalj, Hands-on övningar, injektion, sekvensering, Dag 3, Agenter, Automation, Konfigurering, Övervakning, felsökning, beredskap, produktion, Dag 4, teori, mallar, Skapande, effektiv, Injicering, dynamiska data, Lagring, utdata, vektordatabaser, skalning, Dag 5, Kommersiell, Användningsfall, Bedömning, Verkliga världen, Hands-on workshop, lösa, exempel, utmaningar, Utveckling, ände-till-ände, Presentationer, granskning, Slutexamination, ny, framtida applikationer, Automating: Autamating, Automting, Automatng Prompt Engineering: Promt Engineering, Prompt Engeneering, Promt Enginering, Python: Pyhton, Pithon, Pythn, Cutting-edge: Cuttin-edge, Cuting-edge, Cuttng-edge, Artificial Intelligence: Artifical Intelligence, Artifitial Intelligence, Artificial Inteligence, LangChain: LangChian, LangChan, LangChainn, Automate: Autmate, Automat, Automte, Agents: Agants, Agnets, Agentz, Creative Ambition: Cretive Ambition, Creative Ambtion, Creatve Ambition, Controlled Responsibility: Controled Responsibility, Controled Responsiblity, Controlled Responsibilty, Sustainable: Sustainble, Sustanable, Sustaineble, Business Value: Buisness Value, Business Valu, Busines Value, Training Delivery Methods: Trainig Delivery Methods, Training Delvery Methods, Training Delevery Methods, In-Person: In-Persn, In-Peson, InPersn, Online: Onlin, On-line, Onlene, Training Information: Trainig Information, Training Informtion, Trainin Information, Benefits: Benifits, Benfits, Beneffits, Best Practice: Best Practise, Best Practie, Bes Practice, Large Language Models: Lrge Language Models, Large Languag Models, Large Langage Models, Framework: Framwork, Frameowrk, Frameork, Techniques: Techniqes, Tehniques, Tecniques, Prompt Templates: Promt Templates, Prompt Tempates, Prompt Templtes, Chains: Chanis, Chians, Chainz, Vector Embeddings: Vctor Embeddings, Vector Embddings, Vectr Embeddings, Automated AI Tools: Automted AI Tools, Automated AI Tols, Automated A Tools Public Data: Pubic Data, Public Dta, Pulbic Data, Autonomous: Autonmous, Autonomus, Atonomous, Practical: Practial, Practcal, Pratical, Real-time: Realtime, Reel-time, Rael-time, Competitor Analysis: Compettior Analysis, Competior Analysis, Competitor Analisis, Dynamic Marketing: Dinamic Marketing, Dyamic Marketing, Dyanmic Marketing, Basic Python Scripts: Basic Pyton Scripts, Basci Python Sctipts, Basic Pythn Scripts, Principles: Pinciples, Princples, Principlez, Libraries: Librairies, Librarys, Libaries, API Calls: AP Calls, AAPI Calls, API Calles, Working Knowledge: Workin Knowledge, Working Knowlege, Woriking Knowledge, Writing Prompts: Writting Prompts, Writin Prompts, Writing Prmopts, Chat Models: Chet Models, Chat Modles, Chat Mmodels, Various: Varous, Verious, Varios, AI Outputs: A Outputs, AI Ouputs, AI Outpts AI-generated: AIgenereted, AI-genrated, AI-genereted, Conversations: Coversations, Conversatons, Conversations Hallucinations: Halucinations, Halluciantions, Hallucintions, Training Outline: Trainig Outline, Training Outlin, Trainning Outline, Accordion: Acordion, Acordeon, Accordian, Drop Down Header: Drop Dwn Header, Drop Down Hedder, Dropp Down Header, Introduction: Introducton, Introdction, Introdcution, Why: Whi, Wai, Whyy, Required: Requried, Requred, Reqiured, Advanced: Adavanced, Advaced, Advansed, Overview: Overveiw, Oerview, Overviw, Tools: Toos, Tollz, Tols, LLM: LML, LMM, LLMs, Search: Searhc, Serach, Saerch, Retrievers: Retreivers, Retrievrs, Retriverz, Querying: Queering, Querrying, Queryng, Deep Dive: Depp Dive, Deep Dve, Deeep Dive, In-depth: In-deph, Indepth, In-Depth, Hands-on Exercises: Hands on Exersises, Hands-on Exercizes, Hands-om Exercises, Injection: Injction, Injecton, Injetion, Sequencing: Seqencing, Sequenceing, Sequecning, Agents: Agnts, Agens, Aggents, Automation: Autmation, Automtion, Automattion, Configuring: Configurin, Confguring, Configurring, Monitoring: Monitering, Monitring, Monitorng, Debugging: Debuggin, Deugging, Debgging, Readiness: Rediness, Readines, Readyness Production: Prodution, Produktion, Producton, Theory: Theroy, Thoery, Theorie, Templates: Tempates, Templats, Templaets, Creating: Creatin, Creatng, Cretating, Effective: Efective, Effctive, Affective, Injecting: Injectin, Inecting, Injecing, Dynamic Data: Dyanmic Data, Dinamic Data, Dynamic Dta, Storing: Storeing, Storin, Stroring, Outputs: Ouputs, Outputz, Outpts, Vector Databases: Vctor Databases, Vector Datbases, Vector Databses, Scaling: Scalling, Scaing, Scaeling, Commercial: Comercial, Commecial, Commerial, Use Cases: Usee Cases, Us Cases, Use Caes, Assessment: Assement, Assesment, Asssesment, Real-world: Realword, Reel-world, Reall-world, Hands-on Workshop: Hands on Workshp, Hands-on Workshopp, Handson Workshop, Solving: Solvin, Solvng, Sollving, Sample: Sampl, Sampel, Sammple, Challenges: Challanges, Chalenges, Challengs, Developing: Develping, Developin, Develloping, End-to-end: End to end, End-toEnd, End-2-end, Presentations: Presntations, Presenttions, Presentationz,

In this AI Skills for Business Professionals course, you will craft prompts and employ the many extra AI components now available on desktops/laptops such as plugins, APIs, visualizations.

Advanced Prompt Engineering, Business Users, Artificial Intelligence, Craft Prompts, AI Components, Desktops, Laptops, Plugins, APIs, Visualizations, Corporate Files, Business Insight, In-Person, Online, Large Language Models, Chain-of-Thought, Perspective Prompting, Reverse Prompting, Hands-On Experience, API Integrations, Spreadsheets, File Uploads, Dynamic Data, Business Applications, Marketing, Competitor Analysis, Recruitment, Training Prerequisites, ChatGPT, Claude, Bing, Bard, Training Outline, Day 1, Module 1, GPT-4, Architecture, Training Data, Model Size, NLP Tasks, Prompt Length, Complexity, Long-Form Content, Reasoning Tasks, Module 2, Leveraging Plugins, World News, Zapier, Extension Manager, Keyword Highlighting, Examples, Formatting, Code Career Stages, Spreadsheet Functions, Module 3, Uploading Files, PDFs, Word Docs, Optimal Formatting, Highlighting, Limitations, Multi-File Prompts, Summaries, Citations, Day 2, Module 4, Generating Visualizations, Graphs, Charts, Diagrams, Visualization Design, Data Format, Level of Detail, Axis Labels, Legends, Colours, Dashboards, Module 5, API Integration, Python Libraries, Anthropic's Claude API, Environment, Authentication, API Calls, Google Sheets, Passing Inputs, Processing Outputs, End-to-End Workflows, Module 6, Advanced Exercises, Business Cases, Market Analysis, HR Screening, Progressive Prompts, Iteration, Peer Feedback, Clarity, Effectiveness, Completeness, Advaned Prompt Enginering, Buisness Users, Artifical Inteligence, Craft Promtps, AI Compnents, Dsktops, Labtops, Plug-ins, API's, Visulizations, Corprate Files, Buisness Insight, In-Peson, On-line, Larg Language Models, Chian-of-Thought, Prespective Prompting, Reverese Prompting, HandsOn Experiance, API Integartions, Spredsheets, File Uplaods, Dyanmic Data, Buisness Applications, Markting, Competetor Analysis, Recuitment, Trainig Prerequisites, ChatGTP, Cloude, Bin, Brad, Traning Outline, Da 1, Modul 1, GPT4, Archetecture, Traning Data, Model Siz, NLP Taks, Promt Length, Complexty, LongForm Content, Resoning Tasks, Moduel 2, Leveragin Plugins, Wolrd News, Zapeir, Extention Manager, Keyword Highligting, Exampls, Formating, Code Genration, Spredsheet Functions, Moduel 3, Uploaing Files, PDF's, Wrod Docs, Optiaml Formatting, Highliting, Limitatons, MultiFile Prompts, Sumaris, Citatons, Da 2, Moduel 4, Genrating Visualizations, Graps, Chats, Diagarms, Visulaization Design, Data Formt, Levl of Detail, Axis Lables, Ledgens, Colurs, Dashbords, Moduel 5, API Integrtion, Phton Libraries, Anthropic's Cloude API, Enviroment, Authntication, API Cals, Gogle Sheets, Passing Imputs, Procssing Outputs, End-toEnd Workflows, Moduel 6, Advanced Excersises, Buisness Cases, Market Anlysis, HR Screning, Progressive Promtps, Itration, Peer Feddback, Clariti, Efectiveness, Complteness, Avancerad Prompt-teknik, Affärsanvändare, Artificiell Intelligens, Skapa Prompts, AI-komponenter, Skrivbord, Bärbara datorer, Plugins, API:er, Visualiseringar, Företagsfiler, Affärsinsikt, Ansikte mot ansikte, Online, Stora Språkmodeller, Tankekedja, Perspektivpromptning, Omvänd Promptning, Praktisk Erfarenhet, API-integrationer, Kalkylblad, Filuppladdningar, Dynamisk Data, Affärsapplikationer, Marknadsföring, Konkurrentanalys, Rekrytering, Utbildningsförutsättningar, ChatGPT, Claude, Bing, Bard, Utbildningsöversikt, Dag 1, Modul 1, GPT-4, Arkitektur, Träningsdata, Modellstorlek, NLP-uppgifter, Promptlängd, Komplexitet, Långformigt Innehåll, Resoneringsuppgifter, Modul 2, Utnyttja Plugins, Världsnyheter, Zapier, Tilläggschef, Nyckelordmarkering, Exempel, Formatering, Kodgenerering, Kalkylbladsfunktioner, Modul 3, Ladda upp Filer, PDF:er, Word-dokument, Optimal Formatering, Markering, Begränsningar, Multi-Filprompts, Sammanfattningar, Citat, Dag 2, Modul 4, Generera Visualiseringar, Grafer, Diagram, Scheman, Visualiseringsdesign, Dataformat, Detaljnivå, Axel-etiketter, Legender, Färger, Instrumentpaneler, Modul 5, API-integration, Python-bibliotek, Anthropics Claude API, Miljö, Autentisering, API-anrop, Google Sheets, Skicka Indata, Bearbeta Utdata, Ändpunkt-till-ändpunkt Arbetsflöden, Modul 6, Avancerade Övningar, Affärsfall, Marknadsanalys, HR-screening, Progressiva Prompts, Iteration, Kollegial Återkoppling, Tydlighet, Effektivitet, Fullständighet

The BCS Foundation Certificate in AI assesses understanding of AI terminology, principles, and ethical challenges.

In this comprehensive On-Demand Introduction to AI Course, you’ll navigate AI's evolution, delve into its intricacies, harness its creative potential, and champion ethics in AI.

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In this on-demand Fundamentals of Graph Databases course, you’ll dive into the essentials of graph theory, explore real-world use cases, and discover how Graph Databases revolutionize data analysis, strategic decision-making, and AI integration.

Unlock the potential of data relationships with our comprehensive On-Demand Graph Databases course. Designed for professionals of all backgrounds, this foundational course provides a clear and concise introduction to the world of Graph Databases and their transformative applications. Dive into the essentials of graph theory, explore real-world use cases, and discover how Graph Databases revolutionize data analysis, strategic decision-making, and AI integration. With hands-on exercises using platforms like Neo4j, you'll gain practical experience in creating and querying Graph Databases. Whether you're a data analyst, business manager, database administrator, or technical training professional, this course equips you with the knowledge to harness the power of Graph Databases and elevate your expertise in modern data management and AI strategies. Module 1. Why Graph Databases Matter Explore the significance of Graph Databases in modern data management. Understand their unique advantages and how they revolutionize information retrieval and analysis. Module 2. Introduction to Graph Databases Gain a solid grasp of Graph Databases: their purpose, structure, and applications across various industries. Dive into the essentials of graph theory. Module 3. Utilizing Graph Databases Learn how organizations leverage Graph Databases to solve complex problems. Discover real-world use cases and harness the power of data relationships. Module 4. AI and Semantic Data Uncover the synergy between Artificial Intelligence and Semantic Web technologies. Explore RDF, semantic data formats, and their role in enhancing AI capabilities. Module 5. Graph Databases in AI Strategies Delve into the role of Graph Databases in AI-driven strategies. Understand knowledge representation, ontologies, and how to integrate Graph Databases in AI projects. Module 6. Building Knowledge Graphs Master the implementation of Knowledge Graphs. Explore Graph Neural Networks and how they enhance data-driven insights.

Gain expertise with the AIOps Foundation (AIOF) Certification Course, mastering AI, machine learning in IT ops, and transforming digital landscapes.

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Master AI strategies for project management with our course. Unlock AI's potential in workflows, strategy, and innovation for project success.

AI in project management, Generative AI, ChatGPT, Google Bard, Bing Chat, Open AI’s ChatGPT, Google’s Gemini, and Microsoft’s Copilot, AI strategies, project management workflows, prompt engineering, AI-generated content, AI ethical considerations, AI future trends, AI applications in projects, AI prompting techniques, AI output optimization, AI challenges, AI job risks, AI creativity in projects, AI empathy in communication, AI course for beginners, AI real-world examples, AI project management use cases, AI i projektledning, Generativ AI, ChatGPT, Google Bard, Bing Chat, AI-strategier, arbetsflöden för projektledning, framställning av prompts, AI-genererat innehåll, etiska överväganden inom AI, AI:s framtida trender, AI-applikationer i projekt, tekniker för AI-promptning, optimering av AI-output, utmaningar med AI, jobbrisker med AI, AIs kreativitet i projekt, AIs empati i kommunikation, AI-kurs för nybörjare, AI i verkliga exempel, användningsfall för AI i projektledning.

Learn how to apply Generative AI models in PM scenarios with AI for Project Managers On-Demand. Explore Open AI’s ChatGPT, Google’s Gemini, and Microsoft’s Copilot.

Unleash the power of machine learning with Azure Databricks training course. The course equips you with the skills to build, deploy, and manage machine learning models using this powerful cloud platform.

Azure Databricks, Machine Learning, Delivery Methods, Training Information, Training Prerequisites, Training Outline, Explore Azure Databricks, Use Apache Spark, Train a Machine Learning Model, Use MLflow, Tune Hyperparameters, Use AutoML, Train Deep Learning Models, In-Person Training, Online Training, Private Team Training, Apache Spark, MLflow, Hyperopt, AutoML, Deep Learning, Python, Scikit-Learn, PyTorch, TensorFlow, Spark Clusters, Data Visualization, Model Evaluation, Hyperparameter Optimization, Model Training, Azure Databricks, Maskininlärning, Leveransmetoder, Utbildningsinformation, Förkunskapskrav, Utbildningsöversikt, Utforska Azure Databricks, Använda Apache Spark, Träna en maskininlärningsmodell, Använda MLflow, Stämma Hyperparametrar, Använda AutoML, Träna djupinlärningsmodeller, Utbildning på plats, Onlineutbildning, Privat teamutbildning, Apache Spark, MLflow, Hyperopt, AutoML, Djupinlärning, Python, Scikit-Learn, PyTorch, TensorFlow, Spark-kluster, Data visualisering, Modellutvärdering, Optimering av hyperparametrar, Modellträning

Training course to learn to optimize productivity with Copilot for Microsoft 365. Empower your workforce with Copilot for Microsoft 365.

Copilot for Microsoft 365, MS-4004, productivity optimization, delivery methods, training prerequisites, training information, course outline, introduction, functionalities, best practices, effective prompt creation, plugins, Microsoft Graph connectors, use cases, Executives, Sales, Marketing, Finance, IT, HR, Operations, Microsoft 365 apps, Word, PowerPoint, Outlook, Loop, Excel, Whiteboard, Bing, OneDrive, real-world scenarios, hands-on exercises, AI capabilities, business chat, workflow enhancement, ethical AI, project planning, market analysis, financial analysis, HR management, operations planning, challenge use case, team skills enhancement, BYOS (Bring Your Own Subscription), Copilot för Microsoft 365, MS-4004, produktivitetsoptimering, leveransmetoder, förutsättningar för utbildning, utbildningsinformation, kursöversikt, introduktion, funktionaliteter, bästa praxis, effektiv promptskapande, plugins, Microsoft Graph-kopplingar, användningsfall, Verkställande, Försäljning, Marknadsföring, Finans, IT, HR, Drift, Microsoft 365-appar, Word, PowerPoint, Outlook, Loop, Excel, Whiteboard, Bing, OneDrive, verkliga scenarier, praktiska övningar, AI-kapaciteter, affärschatt, arbetsflödesförbättring, etisk AI, projektplanering, marknadsanalys, finansanalys, HR-hantering, driftsplanering, utmanande användningsfall, förbättring av teamfärdigheter, BYOS (Bring Your Own Subscription)

Master the intricacies of Microsoft Dynamics 365 Business Central development with our intensive MB 820 training course.

Dynamics 365 Business Central, developer, extending, modules, modifying, integrating, Microsoft Power Platform, troubleshooting, debugging, optimizing, system performance, upgrading, migrating, data, maintaining, system security, Delivery Methods, In-Person, Online, Private Team Training, Training Information, Business Central architecture, functional areas, administration, telemetry management, application security, development environments, user interface customization, onboarding techniques, development standards, extension development, Training Prerequisites, industry terminology, AppSource, Application Lifecycle Management (ALM), Source Control Management (SCM), Azure, Certification Information, Microsoft Exam MB-820, Training Outline, Introduction to Business Central, Administration of Business Central, Installation, Development, Deployment, Development Using Application Language (AL), Advanced AL Development, Working with Development Tools, Integration with Other Applications, REST Services, Microsoft Azure, APIs, Microsoft Teams Integration, Dynamics 365 Business Central, utvecklare, utvidga, moduler, modifiera, integrera, Microsoft Power Platform, felsökning, debugga, optimera, systemprestanda, uppgradering, migrera, data, underhåll, systemsäkerhet, Leveransmetoder, På plats, Online, Privat teamutbildning, Utbildningsinformation, Business Central-arkitektur, funktionsområden, administration, telemetrihantering, applikationssäkerhet, utvecklingsmiljöer, anpassning av användargränssnittet, onboardningstekniker, utvecklingsstandarder, utveckling av tillägg, Utbildningsförutsättningar, branschterminologi, AppSource, Application Lifecycle Management (ALM), Source Control Management (SCM), Azure, Certifieringsinformation, Microsoft Exam MB-820, Utbildningsöversikt, Introduktion till Business Central, Administration av Business Central, Installation, Utveckling, Distribution, Utveckling med applikationsspråk (AL), Avancerad AL-utveckling, Arbete med utvecklingsverktyg, Integration med andra applikationer, REST-tjänster, Microsoft Azure, API:er, Microsoft Teams-integration

Master Azure AI Document Intelligence (AI-3002) and unlock the ability to extract data from structured and unstructured documents like forms, receipts, and invoices.

applied skills, applied, skills, Azure AI Document Intelligence, AI-3002, software developers, AI capabilities, Azure AI Services, C#, Python, Delivery Methods, In-Person, Online, Private Team Training, Training Information, Design solutions, Business forms, Common documents, Custom form types, Composite model, Training Prerequisites, Microsoft Azure, Azure portal, Programming languages, JSON, REST, Training Outline, Module 1, Plan Azure AI solution, AI Document Intelligence, Model type, Module 2, Prebuilt Form Recognizer models, General Document, Read, Layout models, Financial, ID, Tax models, Exercise, Module 3, Extract data, Azure Document Intelligence, Train custom models, Azure Document Intelligence Studio, Module 4, Composed Form Recognizer model, Assemble composed models, Module 5, Form Recognizer custom skill, Azure Cognitive Search, Enrichment pipelines, Deploy custom skill, Azure AI Document Intelligence, AI-3002, mjukvaruutvecklare, AI-förmågor, Azure AI-tjänster, C#, Python, Leveransmetoder, På plats, Online, Privat teamutbildning, Utbildningsinformation, Designlösningar, Affärsformulär, Vanliga dokument, Anpassade formulärtyper, Sammansatt modell, Utbildningsförutsättningar, Microsoft Azure, Azure-portalen, Programmeringsspråk, JSON, REST, Utbildningsöversikt, Modul 1, Planera en Azure AI-lösning, AI Document Intelligence, Modelltyp, Modul 2, Förbyggda Form Recognizer-modeller, Allmänt dokument, Läs, Layoutmodeller, Finansiella, ID, Skattemodeller, Övning, Modul 3, Extrahera data, Azure Document Intelligence, Träna anpassade modeller, Azure Document Intelligence Studio, Modul 4, Sammansatt Form Recognizer-modell, Montera sammansatta modeller, Modul 5, Anpassad Form Recognizer-färdighet för Azure Cognitive Search, Berikningspipeliner, Distribuera anpassad färdighet

Our Azure AI Services (AI-3003) training course equips you to build, deploy, and manage intelligent solutions using Microsoft's powerful cloud platform.

applied skills, applied, skills, Azure AI Services, Azure AI Language, C#, Python, natural language processing, text analysis, question answering, conversational language understanding, speech understanding, Azure portal, JSON, REST, language detection, key phrases extraction, sentiment analysis, entities extraction, linked entities extraction, knowledge base, multi-turn conversation, conversational models, intents, utterances, entities, text classification, named entity recognition, Azure AI Translator, language translation, transliteration, speech-to-text API, text-to-speech API, speech synthesis, speech translation, Azure AI-tjänster, Azure AI Language, C#, Python, bearbetning av naturligt språk, textanalys, frågebesvarande, förståelse av konversationsspråk, taluppfattning, Azure-portalen, JSON, REST, språkdetektering, extraktion av nyckelfraser, sentimentanalys, entitetsextraktion, länkad entitetsextraktion, kunskapsbas, flerstegskonversation, konversationsmodeller, avsikter, yttranden, entiteter, textklassificering, igenkänning av namngivna entiteter, Azure AI Translator, språköversättning, translitteration, tal-till-text-API, text-till-tal-API, talsyntes, talöversättning

Harness the power of AI with Azure AI services AI-3004 training. This comprehensive course equips you to design, develop, and deploy intelligent applications using Microsoft's cutting-edge AI services.

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Streamline your database migration with our Migrate SQL Server workload to Azure SQL (DP-3001) training course

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Master the data science process and machine learning model training for AI applications in Microsoft Fabric in this hands-on, beginner-level course.

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Unlock AI potential: Learn to create custom copilots with Azure AI Studio in this hands-on course.

Master AI application development with Azure OpenAI and Semantic Kernel SDK in this 1-day, hands-on course.

Master AI security with Microsoft's SC-5006 course - a day of expert-led training and practical skills.

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Get ISTQB® Certified Tester AI Testing (CT-AI) certification. Learn AI testing methodologies, tools, and techniques in this 4-day hands-on course.

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Learn to develop and deploy AI agents using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework.

Join our 2-day hands-on course to master generative AI and Google Cloud for organizational transformation. No prerequisites required.

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Enhance your AI security expertise with ISACA AAISM. Validate your skills and gain a strategic edge in the evolving AI landscape.

Watch and perform exercises to connect to 7 million records from various sources, refine the data in Power Query and import the tables into Power BI.

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Learn best practices for Power BI with PL-300 Microsoft training. Align business and tech requirements.

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Learn to use Microsoft Power BI dashboard in one day. Build your own data reports and dashboards with instructor support.

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Learn advanced Power BI visualization techniques, including report layouts, design patterns, and best practices for creating great reports and dashboards.

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Learn DAX from beginner to intermediate level. Covers syntax, structured writing, Data Analysis, and DAX Studio. Start your journey now.

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Learning Tree's SQL Server training course covers SQL Server basics: database management, table creation, and query writing for beginners.

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Learn to design BI Data Models for Power BI or Excel dashboards in our Designing Data Models in Excel for Power BI Reports Training.

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The SQL Server Integration Services (SSIS) training teaches data integration and transformation with package creation, execution & deployment for beginners.

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Join our 2-day hands-on course on Microsoft Fabric to master data management and analytics using this all-in-one platform. Ideal for data professionals looking to enhance their skills.

In this hands-on Oracle SQL queries course, learn the full potential of SQL to create complex queries for Oracle databases. Attend in-class or online.

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Learning Tree's DP-300 Certification training provides the knowledge to administer a SQL Server database infrastructure for cloud & hybrid relational databases.

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In this 2-day Microsoft SQL Training, you'll learn the basics of Microsoft's dialect of the standard SQL language: Transact-SQL.

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Learn to mine business intel from your data with SSRS. Design reports with filters, interactive components, & safeguard with Windows authentication.

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CompTIA Data+® is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

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This CompTIA DataSys+ Certification Training provides comprehensive training covering all exam objectives to help you prepare for the DataSys+ certification exam.

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Unlock PostgreSQL's full potential with our 3-day hands-on training. Learn to install, configure, manage, and optimize databases efficiently.

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In this MongoDB course, you'll learn to develop highly scalable & cost efficient applications & build MongoDB data models for enterprise-scale applications.

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Learn to build, deploy, and secure data-driven applications using Azure SQL Database in this hands-on, 1-day course.

In this hands-on Crystal Reports course, learn to create sophisticated reports & transform raw data into meaningful information. Attend in-class or online.

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Learn data visualization with Python using NumPy, Pandas, Matplotlib, and Seaborn in this training course for better data analytics.

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The Data Insights & Visualization Professional Certificate Program equips individuals with an integrated learning model that combines training, assessment, coaching, and collaboration.

Master Tableau dashboards in just 1 day with our intermediate course, and unlock the secrets to impactful data visualization and reporting.

Join our 4-day hands-on course to master data engineering with Microsoft Fabric. Learn data ingestion, transformation, and real-time analytics.

Learn Data Governance & assess Data Maturity with IEC/ISO 38505 standards. Get trained now!

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Gain hands-on expertise in Apache Kafka with our comprehensive training. Learn to build scalable, real-time data streaming applications.

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Learn Python Data Wrangling: Extract/transform data from databases & Excel tables. Discover the benefits of NumPy & Pandas for efficient data cleaning.

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Attend this hands-on IBM Cognos Analytics: Author Reports Fundamentals course & learn report-building techniques using relational data models.

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Learning Tree's Azure Data Science certification course teaches you how to operate machine learning solutions at cloud scale using Azure Machine Learning.

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In the Microsoft Azure Data Fundamentals Training DP-900 course, you'll learn the fundamentals of database concepts and build foundational knowledge.

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This hands-on Data Warehousing on AWS course covers concepts, strategies, & best practices for designing a cloud-based data warehousing solution.

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Learn to build batch data analytics solutions on AWS using Amazon EMR, an enterprise-grade Apache Spark and Hadoop managed service.

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Learn to build an AWS data lake for structured and unstructured data analysis in this course.

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This Microsoft Fabric (DP-601) course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept.

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Boost your skills in Azure Files and Azure Blob Storage Security with our (AZ-1003) course. Learn to configure, manage, and secure Azure storage.

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Learn Azure DevOps Pipeline Security in course AZ-2001: Enhance IT skills with hands-on experience in secure pipeline configuration and management.

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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.

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Boost your career in data analytics and become an Azure Synapse expert. This training course equips you to design and implement data analytics solutions.

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Microsoft Fabric Analytics Engineer DP 600 Training Course. Gain the skills to transform data, manage pipelines, and prepare for the DP-600 exam.

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Learn to implement, load, monitor, and query a data warehouse in Microsoft Fabric with our DP-602 course. Perfect for beginners looking to enhance their data engineering skills.

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Master LookML to build scalable data models in Looker. Enhance your data curation and management skills in this hands-on, intermediate course.

Learn to use Copilot in Word, Excel, Teams & more. 1-day beginner-friendly course to boost productivity with AI-powered Microsoft 365 tools.

Learn to set up, navigate, and optimize Jupyter Notebooks for data science, analysis, and machine learning in this hands-on, 1-day course.

Boost dev speed with GitHub Copilot in VS Code. Learn AI coding, testing & documentation in this hands-on 1-day Microsoft course.

This hands-on Introduction to Decision Analysis gives you the tools required to make better, more informed and justifiable decisions.

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Unlock the power of data with our hands-on Data Stewardship course. Gain practical experience and master data management, governance, analytics, and more. Enroll today!

Learn advanced data modeling & shaping in Power BI with DAX formulas & Power Query M language in this course.

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Maximize your proficiency using Power BI Service with Power BI for Business Users! Learn to navigate the Power BI Service, & to interact with reports, dashboards, & AI visuals effectively.

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Master data analysis and visualization with Microsoft Power BI training course. Our DP-605 training course prepares you for the exam and equips you with the skills to create compelling reports and dashboards.

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Learn to embed Power BI reports in ASP.NET Core apps. Secure, interactive, and dynamic web integration in 1-day hands-on course.

In this Advanced SQL course, you learn how to write robust sql queries, test your queries & avoid common errors & pitfalls. Attend in-class or online.

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In this Introduction to SQL course, you will learn how to optimize the accessibility and maintenance of data with the SQL programming language.

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Learn to leverage SQL Server Management Studio to write SQL queries in this 1-day hands-on course. Attend in-class or online from anywhere.

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Attend this 1-day, hands-on Writing SQL Queries course for an introduction to the SQL language used by all relational database products.

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Learn to write complex, powerful SQL queries, apply joins & subqueries, & select the most efficient solution to complex SQL problems in this 1-day course.

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Learn essential SQL Server skills: installation, storage structures, backup/recovery, and security management. Perfect for enterprise data management.

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In this Linux administration & support course, you gain the skills to install, design, configure & support a Linux server. Attend in-class or online.

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Learn to create stored procedures, triggers, and T-SQL that maximizes SQL Server's potential with our Transact-SQL training.

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