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Explore skill pages, compare recommended programs, and find the right learning path based on your role, track, and goals.
Explore skill pages
Choose a skill to see relevant programs, career outcomes, projects, use cases, and related learning paths.
AI
Get the practical AI skills needed to solve everyday problems at work. Use structured training courses to gain the hands-on skillset to learn how to apply AI tools to daily tasks.
Explore skill → Artificial IntelligenceGenerative AI
Learn how to use and build with modern generative AI systems, from prompts and LLM workflows to agents and enterprise use cases.
Explore skill → Artificial IntelligenceAgentic AI
Build practical understanding of AI agents that can plan, call tools, remember context, and complete multi-step workflows.
Explore skill → Artificial IntelligenceLLMs
Understand how large language models work and how to use them for search, summarization, reasoning, and application development.
Explore skill → Artificial IntelligenceRAG
Learn retrieval augmented generation workflows that connect LLMs with trusted business knowledge and searchable content.
Explore skill → Artificial IntelligenceLangChain
Learn how LangChain-style frameworks help build LLM apps with prompts, chains, retrievers, tools, and agents.
Explore skill → Artificial IntelligencePrompt Engineering
Learn to design prompts that produce reliable, useful, and safe AI outputs for real work scenarios.
Explore skill → Machine LearningMachine Learning
Master the core ML methods used to build predictive systems, automate decisions, and create intelligent applications.
Explore skill → Machine LearningDeep Learning
Develop the neural network foundations needed for computer vision, NLP, generative AI, and advanced ML applications.
Explore skill → Machine LearningMLOps
Learn the practices needed to move machine learning from notebooks to reliable, monitored production systems.
Explore skill → Machine LearningComputer Vision
Learn how machines interpret images and video using deep learning, feature extraction, and model evaluation.
Explore skill → Machine LearningTensorFlow
Build machine learning and deep learning models using TensorFlow workflows for training, evaluation, and deployment.
Explore skill → DataData Analytics
Learn to collect, clean, analyze, and present data so teams can make better decisions. Build skills in spreadsheets, SQL, dashboards, and business reporting.
Explore skill → DataData Science
Build the statistical, programming, and modeling skills needed to turn raw data into predictions, insights, and data products.
Explore skill → DataData Engineering
Learn how to build reliable data pipelines, data models, and infrastructure that power analytics, AI, and reporting.
Explore skill → DataBusiness Intelligence
Learn to convert business data into dashboards, scorecards, and insights leaders can use to make decisions.
Explore skill → DataData Visualization
Learn how to turn complex data into clear charts, dashboards, and narratives that help people understand what matters.
Explore skill → DataSQL
Learn to query, join, aggregate, and analyze structured data using SQL for analytics and business reporting.
Explore skill → DataExcel
Build practical spreadsheet skills for analysis, reporting, formulas, pivots, and business decision-making.
Explore skill → DataPower BI
Learn to build interactive Power BI dashboards and reports that make business data easier to explore and act on.
Explore skill → ProgrammingPython
Build practical Python skills for data, automation, AI, and software development with hands-on projects and real-world examples.
Explore skill → DataStatistics
Learn the statistical foundations used in analytics, experimentation, forecasting, and machine learning.
Explore skill → Machine LearningPredictive Modeling
Learn how to build models that forecast outcomes, estimate risk, and support smarter business decisions.
Explore skill → Artificial IntelligenceVector Databases
Learn how vector databases power semantic search, RAG, recommendations, and AI applications using embeddings.
Explore skill →Explore careers
Career paths designed to connect skills with job outcomes.
Data Scientist
Analyze large datasets, build predictive models, and translate data into decisions for product, marketing, and business teams.
View path →Machine Learning Engineer
Build and optimize ML systems that automate predictions, recommendations, ranking, and intelligent product experiences.
View path →Data Analyst
Collect, clean, and interpret business data using SQL, Excel, BI dashboards, and clear stakeholder-ready reporting.
View path →Generative AI Specialist
Design AI workflows using LLMs, prompts, RAG, and agentic systems to improve productivity and customer experiences.
View path →Business Intelligence Analyst
Build dashboards, define KPIs, and help teams monitor business health through reliable reporting and data storytelling.
View path →