AI Engineer

AI Engineer

Become a production-ready AI Engineer by mastering AI fundamentals, Generative AI, LLMs, prompt engineering, RAG, vector databases, evaluation, and building real AI applications using modern APIs and agent frameworks. Includes an end-to-end Generative AI application capstone.

  • 4 Phases
  • 14 Lessons
  • 6.3 Hrs
  • Beginner Advanced
Category Cloud computing
AI Engineer
Learning Path 14 Lessons 6.3 Hrs

Start Phase
  • AI Fundamentals 10:00
  • AI & ML Career Roles: Applied vs Research Paths 12:18
  • Business Use Cases 13:12

Start Phase
  • Generative AI 19:09
  • LLMs: Concepts, Training & Inference 60:00
  • Prompt Engineering 20:17
  • RAG Architecture (with Pinecone Example) 59:47
  • Vector Databases (Weaviate Example) 38:44
  • LLM Evaluation & Prompt Experiments 10:52

Start Phase
  • LLM APIs: OpenAI Basics 14:00
  • LangChain Fundamentals for LLM Apps 12:44
  • AI Agents & Tool-Based Workflows 15:33
  • Multi-Modal AI Apps (GPT-4o) 55:01

Start Phase
  • End-to-End Generative AI Application 39:33

Start your AI Engineer journey

Learn at your own pace. Total estimated time 6.3 hours

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