After completing this program, learners will be able to: Build Python applications professionally, Develop Machine Learning models, Work with Deep Learning and NLP, Understand and implement Transformers and LLMs, Build AI Agents and Agentic AI systems, Develop RAG-based enterprise applications, Fine-tune LLMs using Hugging Face ecosystem, Build GenAI applications using LangChain and LangGraph, Deploy end-to-end AI solutions.
Taught by Dr. Pallavi Bangare
Outcomes
Curriculum
5 modules, 38 lessons, 120 hours
8 lessons
Build strong programming foundations required for AI, ML, Data Science, and Generative AI.
MindLyft AI
Faculty with hands-on industry experience. Instructors bring practical experience into the classroom, so what you learn reflects how these systems are actually built.
A curriculum that tracks the industry. The syllabus covers tools in current production use, rather than material that stopped being current two years ago.
Real data, real projects. Every module builds toward applied work, ending in capstone projects rather than closed-book assessments.
Classroom teaching, not recorded video. All 120 hours are taught in person, so you can ask a question the moment you are stuck.
Guest lectures from working professionals. Regular sessions on what is changing in the field right now.
Talk to a counsellor about dates, fees and whether this programme fits where you are now.
9 lessons
Understand complete Machine Learning workflow and develop predictive AI models.
8 lessons
Learn Neural Networks, Deep Learning architectures, and Natural Language Processing.
12 lessons
Master Generative AI, Large Language Models, Agentic AI, RAG, and AI Application Development.
1 lesson
Develop real-world portfolio projects and prepare students for industry.
