Join Balaji Viswanathan, CEO of Mitra AI and a renowned Quora contributor, for an exclusive AI Bootcamp designed to elevate your career in the fast-evolving world of technology. Over the course of a weekend, immerse yourself in intensive learning, networking, and skill-building. Our bootcamps are structured to help technology managers and professionals become AI-ready, equipping you with the practical knowledge and tools needed to integrate AI into your business operations.

Each bootcamp offers a mix of theory, hands-on exercises, and real-world applications. Whether you're looking to understand the fundamentals or dive deep into advanced practices, this bootcamp series is tailored to meet your needs.

Upcoming Bootcamp Schedule:

US Essentials Bootcamp

• Apr 4-6, 2025: US Essentials (3-Day Bootcamp)
• Enroll here

India Essentials Bootcamp

• Feb 7-9, 2025: India Essentials (3-Day Bootcamp)
• Apr 11-13, 2025: India Essentials (3-Day Bootcamp)
• Enroll here

India Agentic AI Bootcamp

• Mar 7-9, 2025: India Agentic AI 2-Day Bootcamp)
• Enroll here

US Agentic AI Bootcamp

• Mar 1-2, 2025: US Agentic AI (2-Day Bootcamp)
• Payment here

Who Should Attend?

Technology managers, leaders, and professionals who are looking to integrate AI into their operations and stay ahead in the competitive tech landscape.

What Will You Learn?

The bootcamp will cover practical AI applications, implementation strategies, and hands-on exercises designed to build your expertise and confidence in leveraging AI technologies.

Essentials Highlights:

Audience: Professionals looking to build foundational AI and LLM skills

• Foundation of Machine Learning: Overview of machine learning principles and key algorithms.
• Theory Behind Neural Networks: Understanding the basics of neural networks and their role in AI.
• Building LLM Applications from Scratch: Step-by-step guide to developing LLM-based applications.
• Foundation of NLP: Introduction to Natural Language Processing (NLP) and its applications.
• Vector Databases: Exploring vector databases and their use in AI applications.
• Document Analysis and Data Extraction: Techniques for extracting and analyzing data from documents.
• Creating RAG Applications: Building Retrieval-Augmented Generation (RAG) applications.
• Introduction to Agents: Basics of agents and their role in AI-driven applications.
• Bringing SQL Data into LLMs: Integrating SQL data with LLMs for enhanced data management.

Practitioner Highlights:

• From LLMs to Agents: Step-by-step agent development, including memory, tools, planning, and loops.
• Advanced RAG Applications: Building and enhancing RAG applications with query visualization, expansion, and reranking.
• Advanced Data Management: Combining SQL data with LLMs and using graph-based retrieval.
• Advanced Document Management: Extracting and managing unstructured data from various documents.
• End-to-End Deployments: Developing and deploying applications using FastAPI for both front-end and back-end.

You will receive detailed instructions upon payment.