APEX Educational Institute

Generative AI Engineering Course Online

Learn the modern AI application stack: LLMs (GPT, Claude, Gemini, Llama), prompting, embeddings, vector search, vector databases, RAG and tool calling. Build Generative AI applications grounded in real data.

10 weeks Beginner to AdvancedOnline LiveRecorded Course

What You Will Learn

  1. Module 1

    LLM Fundamentals

    • What is an LLM
    • Model families: GPT, Claude, Gemini, Llama
    • Tokens, context and limits
  2. Module 2

    Prompting

    • Prompt patterns
    • Few-shot and reasoning prompts
    • Structured outputs
  3. Module 3

    Embeddings & Vector Search

    • What embeddings are
    • Semantic search
    • Vector databases: pgvector, Pinecone, Qdrant, Weaviate
  4. Module 4

    RAG

    • Document cleaning and chunking
    • Retrieval pipelines
    • Grounded answers and citations
  5. Module 5

    Tool Calling

    • Function / tool calling
    • Connecting APIs
    • Building assistants
  6. Module 6

    Evaluation & Capstone

    • Evaluating LLM output
    • Cost and latency
    • Capstone GenAI application

What You Practice

  • Weekly hands-on labs with real LLM APIs
  • Build a RAG or agent mini project every module
  • Capstone AI application with demo video
  • Mock interviews and portfolio review

How You Are Graded

  • Assignments: 30%
  • Mini projects: 30%
  • Capstone project: 30%
  • Attendance & participation: 10%
  • Grades: A+ (90+), A (75+), B (60+), C (50+)

Track marks, rank and feedback live in your student portal.

Outcomes

  • Build a RAG assistant on enterprise documents
  • Integrate LLM APIs with structured output and tool calling
  • Choose the right model and architecture for a problem

Free Tutorials to Get Started

FAQs

Is an LLM alone enough for an enterprise application?

No. Real applications combine LLMs with retrieval (RAG), tools, data and workflows. This course teaches that complete stack.

Is this course available online?

Yes. Join live online classes from anywhere, or learn with recorded videos.

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