Advanced Certification in Deep Learning & Neural Networks

Build the intelligence behind next-gen AI systems.

A research-led, industry-focused 10-month program designed to equip learners with the conceptual foundations and practical mastery of deep learning algorithms, neural network architectures, and AI deployment.

Cohort Info

Key Highlights

Course Highlights

About Program

Course Curriculum

Modules designed to meet current industry standards.

01

Intro to Deep Learning & Neural Computation – perceptrons, cost functions, backpropagation

02

Feedforward, Activation, and Optimization – SGD, Adam, regularization

03

CNNs & Vision Systems – image classification, object detection

04

RNNs, LSTM, GRU – time series, sequential data, forecasting

05

Transformers & BERT – attention, text encoding, NLP tasks

06

Capstone Project – end-to-end deployment of an AI model on a real dataset

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

Need to know more?

Get to know the course in depth by downloading the course brochure

Need to know more?

Get to know the course in depth by downloading the course brochure

Real People. Real Results

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

I wanted practical deep learning without leaving my job as a backend engineer. The 160 hours of live sessions and the 10-month pace were doable. Using a pretrained network and appropriate regularization/dropout, I was able to prototype a fraud-image classifier with the aid of the CNNs & Vision module plus GPU virtual labs. I can create and describe a baseline, make sensible adjustments, and present findings from a clean GitHub repository, but I’m not a “researcher” anymore. The IIT/IISc faculty guest sessions provided helpful rigor without being merely academic.

40% Salary Hike

Transformers felt like a mystery to me, even though I had experimented with text analytics. At last, the “Transformers & BERT” block made sense—tokenization, attention, and why F1 was more important than accuracy for our unbalanced tickets. As my capstone, I implemented a lightweight API and refined a small model for support-ticket triage. Although it didn’t fix everything, it gave me a repeatable workflow and significantly reduced manual routing. The code reviews on my GitHub portfolio were honest but constructive, and mentors were reachable.

Real People. Real Results

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

40% Salary Hike

Designed for Ambitious Professionals

Roles Offered

Salary Growth Potential

30- 60% Average Hike
Post Course Completion

Top Salary Bracket

Top Hiring Companies