Advanced Machine Learning & AI Professional Program

Master cutting-edge ML algorithms, deep learning architectures, and AI deployment strategies. Transform your career with industry-recognized certification and hands-on capstone projects.

11 Months
Next Batch: Jan 2026
Online + Live

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Industry-Recognized Certification

Earn credentials valued by top tech companies and AI research labs worldwide.

Hands-On Capstone Projects

Build real ML models and deploy production-ready AI systems for your portfolio.

Expert Faculty & Mentorship

Learn directly from ML practitioners and researchers with years of industry experience.

Career Support & Placement

Access our network of hiring partners and receive dedicated career coaching.

Flexible Learning Format

Balance learning with work through our weekend live sessions and self-paced modules.

Comprehensive Curriculum

Master the complete ML & AI stack through structured modules, hands-on labs, and real-world projects

Module 1

Python for Data Science

Master Python programming, NumPy, Pandas, and data manipulation fundamentals essential for ML workflows.

4 weeks
Module 2

Statistics & Probability

Build strong mathematical foundations covering distributions, hypothesis testing, and Bayesian inference.

3 weeks
Module 3

Machine Learning Algorithms

Explore supervised and unsupervised learning: regression, classification, clustering, and ensemble methods.

6 weeks
Module 4

Deep Learning & Neural Networks

Dive into CNNs, RNNs, LSTMs, and transformer architectures using TensorFlow and PyTorch.

6 weeks
Module 5

Natural Language Processing

Process text data, build language models, and implement sentiment analysis and text generation systems.

4 weeks
Module 6

Computer Vision

Learn image processing, object detection, segmentation, and visual recognition using modern architectures.

4 weeks
Module 7

Model Deployment & MLOps

Deploy models to production, implement CI/CD pipelines, monitoring, and scalable ML infrastructure.

4 weeks
Module 8

Reinforcement Learning

Understand Q-learning, policy gradients, and deep RL for autonomous decision-making systems.

3 weeks
Capstone

Industry Capstone Project

Apply all skills to build, train, and deploy a complete ML solution solving a real business problem.

6 weeks

Career Outcomes & Impact

Our graduates achieve measurable career growth and transition into high-impact ML and AI roles

45%
Average salary increase
89%
Career transition success
200+
Hiring partner companies
3,400+
Program graduates

* Based on graduate surveys and outcomes data from 2023-2024 cohorts. Individual results may vary.

Learn From Industry Experts

Our faculty brings decades of combined experience from leading tech companies and research institutions

Dr. Rajesh Kumar

PhD Computer Science, Stanford | Former ML Lead at TechCorp

Dr. Kumar has 15+ years of experience building ML systems at scale. He led the development of recommendation engines serving 100M+ users and has published extensively in top AI conferences. He specializes in deep learning and neural architecture search.

Prof. Anita Desai

Professor of AI, Institute of Technology | Research Scientist

Professor Desai's research focuses on computer vision and medical imaging AI. She has secured multiple research grants and her work on diagnostic AI systems has been deployed in healthcare settings. She brings both academic rigor and practical deployment experience to the program.

Michael Chen

Director of AI Engineering, CloudScale | NLP Specialist

Michael has built production NLP systems processing billions of documents. His expertise spans transformer models, large language models, and MLOps best practices. He's passionate about bridging the gap between research breakthroughs and production deployment.

Program Investment & Details

Program Duration 11 Months
Learning Format Online + Weekend Live
Next Batch Starts January 2026
Time Commitment 15-20 hrs/week
$8,999

Flexible payment plans available. EMI options starting at $750/month. Merit scholarships up to 20% for qualifying candidates.

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Success Stories

Hear from graduates who transformed their careers through our program

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Frequently Asked Questions

You should have basic programming knowledge (preferably Python), understanding of mathematics (algebra and calculus), and familiarity with data structures. A bachelor's degree in any field is required. We provide preparatory modules to help you refresh these fundamentals before the main program begins.
The program requires 15-20 hours per week, including live weekend sessions (4-6 hours), self-paced learning modules, assignments, and project work. The schedule is designed for working professionals, with most live sessions on weekends and recorded content available for flexible viewing.
Yes, upon successful completion of all modules, assessments, and the capstone project, you'll receive an industry-recognized Professional Certificate in Machine Learning & Artificial Intelligence. The certificate is accredited and recognized by our partner institutions and hiring companies. You'll also receive a digital credential to showcase on LinkedIn and your professional profiles.
Transform your career with ML & AI expertise
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