Welcome to MLTut.com

I started MLTUT in 2020 with one goal: to make learning AI and Data Science easier and more accessible. Through my website and YouTube channel, I share learning roadmaps, technical guides, hands-on projects, and video courses that help learners move from understanding concepts to building practical applications.

My work focuses on making complex technologies easier to understand, whether you are learning Python, exploring Large Language Models, building RAG applications, or developing AI agents.

What I Teach at MLTUT

At MLTUT, I create learning resources covering:

• Artificial Intelligence and Machine Learning: Algorithms, core concepts, and practical implementations.
• Generative AI and LLMs: Large Language Models, embeddings, vector databases, and RAG.
• AI Agents and Agentic AI: Building research agents, AI assistants, and automated workflows.
• LangChain and LangGraph: Developing LLM-powered applications and agent workflows.
• Python and Data Science: Programming, machine learning, and data analysis.
• AI Development Tools: Tutorials on Claude Code, Gemini CLI, and other modern AI tools.

My goal is to help learners understand how these technologies work and how to use them to build real projects.

MLTUT on YouTube

Alongside MLTUT.com, I run the MLTUT YouTube channel, where I publish AI tutorials, practical demonstrations, and structured video courses.

My channel covers topics such as LangChain, LangGraph, Agentic RAG, AI agents, Claude Code, Gemini CLI, Python, NumPy, and Machine Learning.

I focus on hands-on learning. My videos explore how to build AI research agents, create document-based question-answering systems, develop AI assistants, and work with modern AI development tools.

I also organize tutorials into structured courses so learners can follow a guided learning path rather than searching for disconnected lessons.

My goal is simple: help you understand AI concepts and apply them in practice.

Explore my YouTube channel

Academic Background & Research

• Ph.D. in Machine Learning (Ongoing) – Dayananda Sagar University (2019–present)
  Research: Social media–based depression detection using NLP and AI
• M.Tech in Computer Science (2016–2018) – Amity University (Graduated with 93.8%)
• B.Tech in Computer Science (2012–2016) – Amity University

I have also contributed to peer-reviewed research, including:

• Survey of Depression Detection using Social Networking Sites via Data Mining (IEEE Confluence 2020)
• Novel Optimization using Hierarchical Pathfinding A (HPA*) Algorithm for Strategic Gaming Setup* (International Journal of Engineering & Technology, 2018)
• Analysis of Multiple Shortest Path Finding Algorithms in Gaming (Springer, 2018)

Why Learn With MLTUT?

MLTUT combines structured educational resources with practical tutorials to help you learn at your own pace.

• Clear explanations: Understand technical concepts without unnecessary complexity.
• Practical projects: See how AI tools and frameworks are used to build applications.
• Structured learning: Explore roadmaps, tutorials, and video courses.
• Emerging technologies: Learn about LLMs, RAG, AI agents, and modern AI development tools.
• Multiple learning formats: Choose between articles, step-by-step guides, and video tutorials.

I aim to create resources that are useful for beginners building their foundations and experienced learners exploring new AI technologies.

My Mission

I believe that learning AI should be accessible to anyone willing to learn and experiment.

Through MLTUT, I want to help more people build technical knowledge, explore emerging technologies, and develop the confidence to create their own projects.

Whether you are starting with Python or building advanced LLM applications, MLTUT is here to support your learning journey.

Start learning:

• Explore MLTUT.com
• Watch my AI tutorials and courses on YouTube

Join MLTUT and begin your journey into the world of Machine Learning and Data Science today!