Total: $1,100.00
🌟Registrations Open for 6-Month Applied AI Programme🌟
6-Month Certificate Programme on Applied Artificial Intelligence & Emerging Technologies
Weekend Programme | 3 Progressive Capstone Projects | 3-Month Internship
Master AI from scratch! A complete journey from Programming Foundations to building and deploying real-world applications using Deep Learning and Generative AI. 🚀
₹10,000 + GST
Course Fee
(Pay After the Course)
(Pay After the Course)
₹2,000
Registration Amount
(One-time, Non-refundable)
(One-time, Non-refundable)
PROGRAM SUMMARY
6-Month Certificate Programme on Applied AI & Emerging Technologies
A structured pathway from programming foundations to building real-world AI applications.
Mentorship & Exposure
Dr. Indu Joshi (IIT Mandi) & HCL Technologies
Expert guidance from academia and industry professionals
Program Duration
6 Months + 3-Month Internship
Includes 3 progressive capstone projects
Learning Mode
Weekend Online Program
Concept learning, hands-on labs, and real-world projects.
Who Can Join?
Students & Beginners in AI
No prior ML or AI knowledge is required to start.
CURRICULUM STRUCTURE
6-Month Learning Roadmap
A structured pathway from programming foundations to building real-world AI applications
1
Month 1: Programming, Data & AI Foundations
Topics Covered:
- Introduction to AI & Modern Technology Ecosystem
- Python Programming Fundamentals (Variables, Loops, Conditions)
- Python for Data & AI (NumPy, Pandas, Data Structures)
- Data Preparation & Exploratory Data Analysis (EDA)
Practical Learning & Output:
- Basic dataset exploration and data cleaning exercises.
- Month-End Output: Mini Project: Data Exploration & Analysis — a cleaned dataset with basic visualizations.
2
Month 2: Machine Learning & Data Analytics
Topics Covered:
- Machine Learning Fundamentals & Workflow (scikit-learn)
- Regression & Classification Algorithms
- Feature Engineering & Model Improvement (Hyperparameter tuning)
- Model Evaluation (Confusion matrix, accuracy, cross-validation)
Practical Learning & Output:
- Build the first complete ML workflow: data → preparation → model → prediction → evaluation.
- Capstone 1 (Beginner): Foundation to Application (e.g., House-price prediction, Customer churn).
3
Month 3: Advanced ML & Deep Learning Foundations
Topics Covered:
- Unsupervised Learning & Clustering (k-means, PCA)
- Introduction to Neural Networks & Architecture
- Training Neural Networks (Backpropagation, Optimizers)
- Computer Vision & CNNs (Image processing, Transfer learning)
Practical Learning & Output:
- Build a simple customer/data segmentation solution.
- Month-End Output: Image Classification Prototype — a simple computer-vision application.
4
Month 4: Generative AI, LLMs & Intelligent Applications
Topics Covered:
- Generative AI Fundamentals & Ecosystem
- Large Language Models (LLMs) & Transformer Intuition
- Prompt Engineering & AI-Assisted Development
- NLP, Embeddings & Retrieval-Augmented Generation (RAG)
Practical Learning & Output:
- Prompt Engineering Laboratory — develop and compare prompts.
- Capstone 2 (Intermediate): Intelligent AI Application (e.g., Document Q&A assistant, Chatbot).
5
Month 5: AI Application Development & Deployment
Topics Covered:
- Building AI Applications (FastAPI/Flask, API endpoints)
- Model & Application Deployment (Docker concepts, cloud basics)
- Git, GitHub & MLOps Fundamentals
- Monitoring, Testing & AI Developer Skills
Practical Learning & Output:
- Convert an existing ML/AI model into a simple application.
- Month-End Output: Deployment-Ready AI Application, published and documented on GitHub.
6
Month 6: End-to-End AI Project & Professional Readiness
Topics Covered:
- AI Solution Design & Project Planning
- Responsible AI (Ethics, bias, fairness, privacy)
- Final Capstone Development & API Integration
- Final Demonstration, GitHub Portfolio & Career Readiness
Practical Learning & Output:
- Responsible-AI assessment and intensive project development with mentor review.
- Capstone 3 (Advanced): End-to-End AI Solution from problem definition to deployment.
MENTORSHIP & INDUSTRY EXPOSURE
Course Mentor & Industry Experts
Learn directly from IIT Mandi faculty and get real-world insights from HCL Technologies experts.
Dr. Indu Joshi
Course Mentor
Assistant Professor, IIT Mandi
Industry Experts
Industry Exposure
HCL Technologies
QUESTIONS & ANSWERS
Frequently Asked Questions
Get answers to common queries about the Applied AI Programme.
No, prior knowledge of Machine Learning or Artificial Intelligence is NOT required. You only need basic computer literacy, basic programming exposure, and an understanding of early undergraduate-level mathematics.
It is a 6-month Weekend Programme. The learning model includes concept learning (40%), hands-on practice (40%), project work (15%), and presentation/career skills (5%).
The target learners for this programme include 2nd-Year Engineering/Technology Students, Undergraduate Students and Beginners in AI.
Yes, the programme includes a 3-month internship after successful completion of the 6-month course.
You will build 3 Progressive Capstone Projects. These include a Data & Machine Learning Project (Beginner), a Generative AI / Intelligent Application (Intermediate), and an End-to-End AI Application (Advanced).
You will get hands-on experience with Python, NumPy, Pandas, Scikit-learn, Deep Learning frameworks (PyTorch or TensorFlow), LLM APIs, Hugging Face, Git, GitHub, FastAPI/Flask, and Docker fundamentals.
Build Your Future with Applied AI & Emerging Technologies
A six-month, hands-on learning journey taking students from programming foundations to building and deploying real-world AI applications.
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