✨
AI
Generative AI
Learn ChatGPT, prompt engineering, LLMs, AI tools, RAG basics, embeddings and real-world Gen AI applications.
Duration
10 weeks
Students
260+ enrolled
Rating
4.9
What You Will Learn
Understand Generative AI and LLM workflows
Write effective prompts for business and development use cases
Build AI-powered applications using APIs
Create portfolio-ready Gen AI projects
Curriculum
1
Generative AI foundations
AI vs ML vs Gen AILLMsTokensUse cases
Lab: Explore ChatGPT, Gemini and Claude-style workflows
2
Prompt engineering basics
Prompt structureRole promptingContextConstraints
Lab: Create prompts for learning, coding and business use cases
3
Advanced prompting
Few-shot promptingChain-of-thought style reasoningPrompt templatesEvaluation
Lab: Build reusable prompt templates
4
LLM APIs
API keysRequest/response flowSystem/user promptsError handling
Lab: Create a simple AI text generation app
5
Embeddings and semantic search
EmbeddingsVector similaritySearch use casesKnowledge retrieval
Lab: Build semantic search over sample documents
6
RAG basics
Retrieval Augmented GenerationChunkingContext injectionHallucination control
Lab: Create a basic document Q&A assistant
7
AI tools for productivity
Content creationCode assistanceResearch workflowsAutomation
Lab: Design AI workflow for a business task
8
Gen AI app development
Frontend integrationBackend APIStreaming basicsUI patterns
Lab: Build a Gen AI chatbot interface
9
Responsible AI
BiasPrivacySecuritySafe usage
Lab: Create safety checklist for AI applications
10
Capstone project
Project planningDemo flowGitHub documentationInterview explanation
Lab: Build and present a Gen AI mini project