Intel & IITM Pravartak | Certified Artificial Intelligence & Machine Learning Program
1 - 20 yrsAnywhereFee
INR 1,79,999
Duration
4 months Weekdays / 6 months Weekend
Experience
1 - 20 yrs
Delivery Method
Online
A journey where you'll gain hands-on experience in high- impact areas like Generative AI, Agentic AI, Deep Learning, and MLOps.
Course Detail
Intel & IIT-M Pravartak-Certified Artificial Intelligence & Machine Learning Program is a comprehensive 6-month career-launching journey designed to transform learners into industry-ready AI professionals. It begins with a strong foundation in Python, statistics, and
machine learning, and progresses into advanced concepts like Deep Learning, LLMs, GenAI, and Agentic AI systems.
Participants gain hands-on experience through Intel- curated labs, real- world capstone projects, and cutting-edge tools such as PyTorch, TensorFlow, LangChain, and FAISS. You'll learn to build and deploy end-to- end solutions-from classical ML models to modern LLM-powered APIs- using MLOps, containerization (Docker), and cloud platforms like AWS, GCP, and Azure.
What You'll Learn to Build:
- A rock-solid foundation in Machine Learning, Deep Learning, Generative AI & Agentic AI
- Mastery in AI Concepts for coding interviews
- Full-cycle development skills-from Python to MLOps & LLMOps
- Build end-to-end projects & perform hands-on lab exercises on Intel AI PC
- Experience in building LLM-based Projects, Vector Search & RAG systems
- A professional GitHub portfolio with real-world projects & open-source contributions
About HCL GUVI:
We're the only industry-backed EdTech platform, part of the HCL Group, and incubated by IIT Madras & IIM Ahmedabad. Proud holders of 2 Guinness World Records for upskilling the maximum learners in 24 hours.
Intel AIML Program
- Learn from Industry Experts - Live guidance from top professionals in AI.
- Curriculum by Intel & HCL GUVI - Designed to make you job-ready for AI/ML roles.
- LIVE Classes + Lifetime Access - Learn at your pace with recordings you can revisit anytime.
- Powered by Intel & IITM Pravartak - Cutting-edge program backed by global leaders.
- Special Guest Sessions by Intel Experts - Exclusive insights from AI pioneers.
- Joint Certification - Earn credentials from HCL GUVI, Intel, and IITM Pravartak.
- End-to-End AI Projects - Hands-on experience with Intel AI PCs.
- 2-Day Immersion at IITM Pravartak - In-person, practical learning and networking.
Desired Candidate Profile
- College Students
- Fresh Graduates
- Career Switchers
- Self-taught Programmers
Course Modules
Section 1: Programming & Data Analytics
- Module 1: Introduction to AI and Current Trends (During Orientation)
- Module 2: Setting up AI Development Environment on PC - Maximize Your Intel AI PC
- Module 3: Introduction to Python
- Module 4: Advanced Python Concepts
- Module 5: Data Handling with Pandas
- Module 6: Introduction to SQL
- Module 7: Exploratory Data Analysis (EDA)
- Module 8: Data Visualization in Python
- Module 9: Essential Mathematics for Data Science
Section 2: Machine Learning
- Module 10: Machine Learning Fundamentals
- Module 11: Advanced Machine Learning
- Module 12: Introduction to MLOps: Bridge the gap between Machine Learning and real-world deployment
Section 3: Deep Learning
- Module 13: Introduction to Neural Networks
- Module 14: Deep Neural Networks
- Module 15: Applied Deep Learning with PyTorch
- Module 16: Introduction to Computer Vision with CNNs
- Module 17: Natural Language Processing (NLP)
Section 4: Generative AI
- Module 18: Introduction to Generative AI
- Module 19: Large Language Models (LLMs) and Prompt Engineering
- Module 20: Building AI-Powered Applications with Flask and Streamlit
- Module 21: Advanced Prompt Engineering and LLM Fine-Tuning
- Module 22: Reinforcement Learning: Fine-tune generative models
- Module 23: Retrieval-Augmented Generation (RAG) for AI Models
- Module 24: Building a Local Retrieval-Augmented Generation (RAG)
- Module 25: Agentic AI Autonomous AI Systems
Section 5: MLOps & LLMOps
- Module 26: Setting up Docker for AI Development
- Module 27: Cloud Deployment for LLM-Based Applications
