AI Engineer / Generative AI Developer

Build AI-powered applications using LLMs, RAG pipelines, agents, and production-ready APIs. Master this track step-by-step. Complete all modules to earn your verified certification.

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0 / 19 Lessons Mastered

1

Generative AI Foundations

How Large Language Models Work

8 min read

Tokens, Embeddings & Transformers

9 min read

Prompt Engineering Fundamentals

8 min read

2

Prompt Engineering Mastery

Few-Shot & Zero-Shot Prompting

10 min read

Structured JSON Output Prompting

10 min read

Chain-of-Thought & Reasoning Prompts

10 min read

3

Embeddings & Vector Databases

Semantic Embeddings Explained

8 min read

Pinecone, Weaviate & ChromaDB

10 min read

Cosine Similarity & Retrieval

10 min read

4

RAG Systems

Introduction to Retrieval-Augmented Generation

10 min read

Chunking & Context Window Optimization

10 min read

Hybrid Search & Reranking

10 min read

Production-Grade RAG Architecture

10 min read

5

Agents & AI Workflows

LangChain Fundamentals

12 min read

LlamaIndex Pipelines

12 min read

Building Autonomous AI Agents

12 min read

6

AI Application Deployment

FastAPI for AI Backends

10 min read

Dockerizing AI Applications

10 min read

Deploying AI Apps on AWS/GCP

15 min read