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
- Program Duration: 10 Months (180 days | 40 weeks)
- Next Cohort Launch: 1st of every month
- Application Deadline: 15th of every month
Key Highlights
- Jointly led by faculty from IISc, IITs, and AI Labs
- Capstone Project on real datasets with mentor guidance
- Access to GPU-enabled Virtual Labs and AI toolkits
- Career-ready portfolio with GitHub integration
- Compliant with NEP 2020, NCrF (Level 7) and mapped to NOS QP
Course Highlights
- Program Duration: 10 Months
- Number of Projects: 6 Applied Projects + 1 Capstone
- Live Sessions: 160 Hours (Instructor-Led)
- Self-Paced Learning: 80 Hours of structured assignments
- Credit Load: 18 Academic Credits
- Mode of Learning: Online ILT + Virtual Labs (Hybrid Optional)
- Language of Instruction: English
About Program
The program is designed to be completed over 10 months, ensuring a balanced and flexible learning schedule that accommodates working professionals.
- Live Instructor-Led Sessions: 160 hours of real-time interaction with industry mentors and academic experts.
- Self-Paced Learning: 80 hours of structured assignments, recorded sessions, and curated learning materials accessible anytime.
- Mode of Learning: Delivered through Online Instructor-Led Training (ILT) integrated with Virtual Labs. A hybrid learning mode is also available on request for learners seeking flexible access to both virtual and on-site lab experiences.
To ensure real-world application of concepts:
- The curriculum includes 6 applied projects across key industry domains.
- A Capstone Project enables learners to synthesize their skills and demonstrate domain expertise by solving a real business or technical challenge.
The program carries an academic credit weight of 18 credits, aligned with academic recognition standards and potential credit transfers for further studies or formal degree programs.
All sessions, materials, assessments, and interactions are conducted in English, ensuring global standardization and accessibility for a diverse learner base.
AI/ML Developers, Data Scientists | Mid-career upskilling |
Software Engineers, Python Developers | Transition to AI roles |
Researchers, Analysts, and Early Faculty | Domain specialization |
Graduates with Python & Math Foundation | Enter AI ecosystem |
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
- Design & optimization of deep neural networks
- Implement CNNs, RNNs, GANs, LSTMs, Transformers
- AI workflow creation: preprocessing → modeling → deployment
- Application of DL in computer vision, NLP, speech & forecasting
- Use of regularization, dropout, and model tuning techniques
- TensorFlow, PyTorch, Keras
- OpenCV, Scikit-Learn, NumPy, Pandas
- Colab, Jupyter, Git, GitHub
- Visualization: Matplotlib, Seaborn
- Deployment & Debugging: ONNX, Streamlit, Gradio
Need to know more?
Need to know more?
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Designed for Ambitious Professionals
- AI Engineer
- DL Researcher
- ML Ops Specialist
- CV/NLP Analyst
Post Course Completion
₹15–28 LPA (India)
$90K+ (Global)
Designed for Ambitious Professionals
- AI Engineer
- DL Researcher
- ML Ops Specialist
- CV/NLP Analyst
Post Course Completion
₹15–28 LPA (India)
$90K+ (Global)
You Asked, We Answered
No. A good grasp of Python and linear algebra is sufficient.
Yes. If you meet the eligibility (Python + Math), you’re welcome to apply.
Yes. It is mapped to NCrF Level 7 and aligned with NOS standards.
Yes. You’ll get access to GPU-powered virtual labs and real-world datasets.
Yes. Dedicated placement cell, mentorship, mock interviews, and showcases.
Yes. A jointly branded certification from MSMGrad and academic/industry partners.
