Course info

AI Agents Bootcamp is an intensive 14-week program designed to equip AI professionals with cutting-edge skills in Multi AI Agents System creation and execution. This dual-phase course combines theory with hands-on practice, empowering engineers to excel in building and optimizing advanced AI Agent applications for real-world challenges. It comprises in-depth lecture/theory sessions, guided labs for building AI models, quizzes, projects on real-world datasets, guided readings of influential research papers, and discussion groups.

AI Agents Syllabus

• Introduction to AI Agents
• Real-Life Case Studies and Applications
• AI Agent Orchestration Frameworks
• Paper Reading: ReACT, MemGPT, GorillaLLM, XLAM, Simulacra
• Model Context Protocol (MCP) Integration
• Agentic Communication Protocols
• Supervised Fine-tuning & Domain Adaptation
• Reinforcement Learning (RL) Fundamentals
• Reinforcement Learning for Agentic Systems
• Multi-Agent Reinforcement Learning (MARL)
• Capstone Project and Future Trends

Prompt Engineering Syllabus

• Overview
• Introduction to Large Language Models and Infrastructure
• The Fundamentals of Prompting
• Advanced Prompting Techniques
• Practical Applications of Prompting
• Specialized Prompting Methods
• Programmatic Prompting and Automation
• Monitoring and Securing Prompts
• Innovative Techniques and Emerging Trends

Activities and components of the boot-camp

• Extensive compilation of guided exercises and labs with Jupyter-notebooks
• Lecture sessions with clear explanations of the topics involved
• Real-world group projects that aim to be starters for a potential startup, either outside or within your current company/place of work
• Quizzes and assessments for self-evaluation of progress
• “Cambrian Explosion” series — a collective approach to discuss the latest breakthroughs and happenings in LLM
• Project demonstrations and cohort feedback
• Research paper readings with lucid explanation bringing out the main ideas and relevance
• A friendly competition between the teams, and sharing of best practices
• A fairly extensive starter code-base to guide your progress and development
• A faculty of highly experienced and technical instructors, teaching assistants, and lab-assistants providing help around the clock as needed
• For those seeking jobs, mock-interviews practice, guidance with resume and job-placement help
•  

The teaching faculty for this workshop comprises the instructor, a supportive staff of teaching assistants, and a workshop coordinator. Together they facilitate learning through close guidance and 1-1 sessions when needed.

You can attend the workshop in person or remotely. State-of-the-art facilities and instructional equipment ensure that the learning experience is invariant of either choice. Of course, you can also mix the two modes: attend the workshop in person when you can, and attend it remotely when you cannot. All sessions are live-streamed, as well as recorded and available on the workshop portal.

Learning Outcome
By the end of the AI Agent Bootcamp, participants will master the core design patterns to engineer effective, practical, real-world AI agents driven applications. You will have learned techniques to build and optimize high-performance and robust AI agentic solutions. You will gain hands-on experience through labs and real-world use-case driven projects, developing the skills and confidence to solve complex challenges and showcase a strong portfolio.