Masters in Artificial Intelligence and Machine Learning – Quantum Academy Program

Gain in-depth expertise in AI and ML through India’s leading program, developed in collaboration with Quantum Academy and Affiliated University. Explore advanced topics including Deep Learning, Generative AI, Natural Language Processing (NLP), and more—built for future-ready professionals.

Master’s in Artificial Intelligence & Machine Learning – Program Snapshot

Offered by Quantum Academy in collaboration with Quantum Academy and Affiliated University

• 2 Variants for Every Project – Tackle challenges with multiple solution paths

• 60+ Real-World Case Studies – Apply AI and ML in diverse industry contexts

• 80+ Tools Covered – Hands-on experience with cutting-edge GenAI and programming platforms

• Dual Recognition – Master’s certification from Quantum Academy and Affiliated University

• Integrated Generative AI Modules – Learn the latest AI advancements with practical projects

• Global-Standard Learning at a Fraction of the Cost – World-class education at 1/10th the price of on-campus programs

• Bi-weekly Mentorship from Industry Experts – Ongoing guidance to refine your expertise

• US & Canada Recognition – Qualifications accepted globally

• 1:1 Personalized Coaching – Tailored support to help you succeed

• Daily Doubt-Clearing Support – Stay on track with expert help, every day

Program Overview – Master’s in AI & ML

Unlock a future-proof career in Artificial Intelligence and Machine Learning with Quantum Academy’s globally recognized Master’s program, developed with Quantum Academy and Affiliated University. Backed by an expansive alumni network of 30,000+ professionals and a stellar 4.5-star rating, this program blends academic excellence with practical, career-ready skills.

Designed for working professionals, the curriculum offers the flexibility you need—without compromising on depth. Learn directly from leading academics and seasoned industry experts, as you master AI, machine learning, and data-driven decision-making.

The program goes far beyond theoretical learning. Through hands-on projects, real-world case studies, and access to cutting-edge tools—including Generative AI—you’ll build the practical expertise required to thrive in high-impact tech roles. Graduates receive a WES-accredited international qualification, recognized in the US, Canada, and beyond.

Whether you aim to elevate your current role or transition into AI and ML, this Master’s degree ensures you’re equipped with both the foundation and the future-facing skills to lead in the world of intelligent technologies.

Advance Your Career with the PG Diploma in AI & ML

Offered by Quantum Academy in collaboration with Affiliated University

By the end of this program, you will be able to:

• Master Leading AI & ML Tools – Gain hands-on expertise in today’s most in-demand technologies and frameworks

• Build Real-World AI Applications – Apply your knowledge to create impactful, intelligent solutions

• Transition into High-Growth Roles – Step into sought-after careers in machine learning and artificial intelligence

• Lead Mission-Critical Projects – Drive innovation by managing end-to-end AI initiatives

• Specialize with Purpose – Align your professional background with the most relevant AI domain

• Become Part of India’s Largest AI Community – Network, collaborate, and grow alongside top professionals in the field

Programming Bootcamp for AI & Machine Learning

Basic Maths for DS & ML  4 Weeks

Description: Explore data patterns and use statistical methods to visualise, interpret, and extract actionable insights that help drive better decision-making.

Topics Covered

• Data Analysis with Python
• Exploratory Data Analysis
• Inferential Statistics and Hypothesis Testing

Cloud Computing & Big Data   5 Weeks

Description: Move your data processes to the cloud and analyse big data at scale using industry-relevant tools and cloud computing platforms.

Topics Covered

• Cloud Computing with AWS / GCP / Microsoft Azure
• Big Data Analysis with PySpark

Foundations of ML

Description

Understand how mathematics powers machine learning, and implement classification, regression, and clustering models to predict metrics and discover insights.

Topics Covered:

• Machine Learning Paradigms
• Linear and Logistic Regression
• K Nearest Neighbors
• Regularisation and Hyperparameter Tuning
• Decision Trees and Ensembles
• Clustering Models

Deep Learning & NLP

Description: Advance your ML skills by working with deep neural networks and applying machine learning and deep learning techniques in natural language processing.

Topics Covered:

• Deep Learning Fundamentals
• Convolutional and Recurrent Neural Networks
• Lexical / Syntactic / Semantic Processing