Milan Majumder

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

20+

Teaching Experience in detail in Data Science Classes

Learn Data Science and AI from a Real Industry Expert With over two decades of hands-on experience in data science and AI, I bring you more than just textbook knowledge—I offer real-world insights drawn from years of solving complex business problems. From traditional business analytics to advanced AI modeling, I’ve worked across industries to understand what companies truly need. I’ve trained professionals and fresh graduates alike, not only to land jobs, but to thrive by applying machine learning, deep learning, LLMs, Gen-AI, MLOps, and AIOps to real-life scenarios. Unlike many short-term courses, I understand that the data science journey doesn’t end after a 3-month bootcamp. It’s a long-term evolution, and I’ll be there to mentor you every step of the way. My teaching approach blends real business use cases, industry best practices, and the latest in AI innovation—ensuring you're not just job-ready, but future-ready. If you're looking for someone who knows the industry, understands what companies are searching for, and is committed to guiding you throughout your career, then join me. Let’s build your analytical journey—together.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Analysis Classes

20+

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Full Stack Agentic AI

20+

Teaching Experience in detail in Full Stack Agentic AI

I bring 20+ years of hands-on experience across Data Science, Machine Learning, Deep Learning, Generative AI, and Agentic AI, with a strong focus on translating emerging AI technologies into practical, scalable business solutions. My teaching experience in Full Stack Agentic AI is grounded in real-world implementation rather than purely academic concepts. I have trained and mentored experienced professionals, technology leaders, and business executives across industries, helping them understand how to move from AI concepts to production-ready Agentic AI systems. My core teaching areas include the complete Agentic AI stack - from LLM fundamentals, prompt engineering, RAG (Retrieval-Augmented Generation), embeddings and vector databases, tool calling, MCP (Model Context Protocol), AI agents, multi-agent architectures, memory, orchestration, evaluation, security, APIs, and deployment to building scalable solutions around real enterprise data. A key focus of my approach is Full Stack Agentic AI for business: how to connect agents with enterprise knowledge, applications, databases, APIs and business processes to create autonomous systems that can reason, retrieve information, use tools, make decisions and execute tasks. I have worked with and taught experienced professionals and senior leaders across different industries, many of whom have progressed into significant leadership positions. This experience has shaped my teaching style: practical, business-oriented, interactive and focused on solving real problems rather than simply learning frameworks. My objective is simple - help professionals become capable of designing and building Agentic AI solutions independently, even if they are transitioning from another technology domain. Coding is valuable, but I focus equally on architecture, problem-solving, business understanding and system design. The goal of every learning engagement is to move from “I understand Agentic AI” to “I can build and deploy Agentic AI.”