AI/ML Fellowship Program
Master cutting-edge AI technologies in our intensive 8-week program. Build 8 real-world AI projects and join a community of 400+ AI engineers.
Master cutting-edge AI technologies in our intensive 8-week program. Build 8 real-world AI projects and join a community of 400+ AI engineers.
Our AI/ML Fellowship is designed to transform you into a skilled AI engineer. Through hands-on projects, expert mentorship, and cutting-edge curriculum, you'll master the technologies shaping the future of artificial intelligence.
Intensive training program
Real-world AI applications
1-on-1 guidance
Industry recognition
Our comprehensive curriculum covers the latest AI/ML technologies and methodologies
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Jul 22 - Jul 28
Week 1
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Introduction to LLMs
Learn the fundamentals of Large Language Models, explore GPT architectures, and build your first AI-powered text generator.
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Python OpenAI API Transformers Hugging Face |
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Jul 29 - Aug 4
Week 2
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LLM Fine-tuning
Master the art of fine-tuning pre-trained models for specific tasks and domains using modern techniques.
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Python PyTorch LoRA PEFT Datasets |
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Aug 5 - Aug 11
Week 3
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RAG Systems Fundamentals
Build Retrieval-Augmented Generation systems to enhance LLMs with external knowledge bases and real-time data.
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Python LangChain ChromaDB Embeddings Vector Search |
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Aug 12 - Aug 18
Week 4
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Advanced RAG Implementation
Implement sophisticated RAG architectures with multi-modal data, semantic chunking, and query optimization.
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Python PineCone FAISS LlamaIndex Semantic Search |
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Aug 19 - Aug 25
Week 5
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AI Agents Development
Create autonomous AI agents that can reason, plan, and execute complex tasks using LLMs as their cognitive engine.
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Python LangChain Agents ReAct Tool Calling AutoGPT |
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Aug 26 - Sep 1
Week 6
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Model Context Protocol (MCP)
Implement Model Context Protocol for seamless integration between AI models and external systems and data sources.
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Python MCP SDK JSON-RPC WebSockets API Integration |
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Sep 2 - Sep 8
Week 7
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Capstone Project 1: AI Research Assistant
Build an intelligent research assistant that can analyze papers, extract insights, and generate comprehensive research summaries.
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Python RAG LLMs Research APIs NLP Streamlit |
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Sep 9 - Sep 15
Week 8
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Capstone Project 2: Multi-Agent AI System
Develop a sophisticated multi-agent system where AI agents collaborate to solve complex business problems autonomously.
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Python Multi-Agent Systems LangGraph Tool Integration FastAPI |
To succeed in our AI/ML Fellowship, you should have:
Intermediate level Python skills
Understanding of machine learning concepts
Experience with pandas, numpy
Git and GitHub familiarity
Join hundreds of engineers who have transformed their careers through our AI/ML Fellowship program.