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Video course · 15 chapters · 707 min · certificate

Gen AI for Beginners: From LLMs to RAG and AI Agents

Intellipaat's nearly 12-hour generative AI course for beginners: AI history and types, agentic AI, how generative models work, the GenAI value chain, hands-on prompting, the transformer and attention, Hugging Face Transformers, inference pipelines and APIs, RAG from scratch and with LangChain, prompt templates, open-source models and AI agents with tools.

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What you'll learn

  • Trace AI's evolution and its main types
  • Explain how generative models and transformers work
  • Map the GenAI value chain and access models via APIs
  • Use Hugging Face Transformers pipelines
  • Build RAG with embeddings and LangChain
  • Run open-source models and build agents with tools

Chapters

15 chapters · 706:55
  1. 8:45 01Foundations Members Introduction, history and types of AI From rules to learning.
  2. 15:07 02Agentic AI Members Agentic AI explained Why now?
  3. 38:06 03GenAI Members Introduction to generative AI Predict the next word.
  4. 19:13 04Business Members Generative AI value chain Who makes money.
  5. 48:54 05Prompting Members Generative AI hands-on Use the models.
  6. 107:05 06Transformers Members Transformer architecture explained Attention.
  7. 6:22 07Library Members Transformers library Many variants.
  8. 112:53 08Hugging Face Members Hugging Face tutorial Pipelines.
  9. 103:33 09APIs Members Inference pipeline Using hosted models.
  10. 26:24 10RAG Members Introduction to RAG Answer from your data.
  11. 37:41 11Retrieval Members How RAG works Find the right chunk.
  12. 32:44 12LangChain Members RAG with LangChain Build the pipeline.
  13. 36:11 13Templates Members Prompt templates using LangChain Reusable prompts.
  14. 10:11 14Open source Members Accessing open-source AI models Llama, Gemma, Qwen.
  15. 103:46 15Agents Members AI agents and tools Loops and tools.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Software DevelopersWeb DevelopersComputer Science StudentsSoftware EngineersData ScientistsWebsite DevelopersBackend DevelopersIT ConsultantsIT SpecialistsSystems AnalystsBlockchain DevelopersData Analysts