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Most Comprehensive
Basic to Advanced Generative AI
The most comprehensive Gen AI program — from AI fundamentals to building autonomous agents, across 90 intensive sessions.
90 Sessions
Certification
Exemplary Feedbacks
Avg. Salary
$140k+
AI Apps Built
12+
Prerequisites
Basic programming concepts
Willingness to learn Python
No prior AI/ML experience required
What You'll Learn
Understand AI/ML fundamentals from scratch
Build and deploy LLM-powered applications
Design RAG pipelines with vector databases
Fine-tune open-source models (Llama, Mistral)
Create autonomous AI agents & multi-agent systems
Master prompt engineering for production systems
Work with OpenAI, Hugging Face, & LangChain
Deploy AI applications to cloud platforms
Learning Roadmap
AI & ML Foundations
Session no. 1-10
Python for AI
Session no. 11-18
NLP Fundamentals
Session no. 19-28
Large Language Models
Session no. 29-40
Prompt Engineering
Session no. 41-50
RAG & Vector Databases
Session no. 51-62
Fine-Tuning & Custom Models
Session no. 63-72
AI Agents & Automation
Session no. 73-82
Capstone Project
Session no. 83-90
Detailed Syllabus
Module 1: AI & ML Foundations
10 sessionsHistory of AI & current landscapeMachine learning basicsNeural networks fundamentalsDeep learning introduction
Module 2: Python for AI
8 sessionsPython essentialsNumPy & data handlingWorking with APIsEnvironment setup & tooling
Module 3: NLP Fundamentals
10 sessionsText preprocessing & tokenizationWord embeddings (Word2Vec, GloVe)Sequence models (RNN, LSTM)Transformer architecture deep-dive
Module 4: Large Language Models
12 sessionsGPT architecture & trainingOpenAI API & Azure OpenAIGoogle Gemini & Anthropic ClaudeToken economics & context windows
Module 5: Prompt Engineering
10 sessionsPrompt design principlesChain-of-thought & few-shot promptingSystem prompts & guardrailsPrompt testing & optimization
Module 6: RAG & Vector Databases
12 sessionsEmbedding models & similarity searchPinecone, Weaviate & ChromaDBDocument chunking strategiesHybrid search & re-ranking
Module 7: Fine-Tuning & Custom Models
10 sessionsTransfer learning conceptsLoRA & QLoRA techniquesFine-tuning Llama & MistralDataset preparation & evaluation
Module 8: AI Agents & Automation
10 sessionsLangChain & LlamaIndexAutonomous agent designMulti-agent frameworks (CrewAI)Tool usage & function calling
Module 9: Capstone Project
8 sessionsEnd-to-end AI applicationProduction deploymentPerformance monitoringPortfolio showcase & presentation
Frequently Asked Questions
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