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Understand LLMs, prompt engineering, embeddings, vector search, and build real GenAI apps. 21 comprehensive lessons covering everything you need to know.
Learn agentic RAG, memory, planning, tool use, multi-agent patterns, and deployment basics. Build intelligent autonomous systems.
Build GenAI apps using JavaScript. Perfect if JS is your comfort zone. Practical hands-on projects and examples.
Covers ML foundations, regression, fairness, and hands-on Python examples. A complete introduction to machine learning concepts.
Practical ways to apply AI and ML in real data science workflows. Learn to extract insights from data effectively.
Security essentials like Zero Trust, IAM, risk management, and shared responsibility. Protect systems and data effectively.