Program Overview
Dive deep into the world of neural networks and advanced AI with our expert-led training program! This intensive 5-day offline course is designed to provide data scientists, engineers, and researchers with practical skills to build and deploy sophisticated deep learning models.
Why Attend?
- Master neural network architectures from fundamentals to advanced
- Learn to implement deep learning models using modern frameworks
- Understand optimization techniques for better model performance
- Hands-on labs with real-world datasets and problems
Who Should Attend?
- Data Scientists
- Machine Learning Engineers
- AI Researchers
- Software Developers
- Technical Managers
- Advanced Computer Science Students
Key Highlights
- Comprehensive Coverage - From MLPs to Transformers
- Practical Implementation - TensorFlow/PyTorch hands-on
- Model Optimization - Hyperparameter tuning techniques
- Computer Vision - CNNs for image processing
- Natural Language Processing - RNNs and Transformers
- Deployment Strategies - Model serving and scaling
- Certificate of Completion - Enhance your credentials
- Lab Access - Dedicated workstations for hands-on practice
Program Schedule
Day 1: 24th November 2025 - Neural Network Foundations
- 09:30 AM – 11:00 AM: Mathematical Foundations of Deep Learning
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: Neural Network Architectures & Activation Functions
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Backpropagation & Optimization Algorithms
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Lab: Implementing MLPs with PyTorch/TensorFlow
Day 2: 25th November 2025 - Convolutional Neural Networks
- 09:30 AM – 11:00 AM: CNN Fundamentals & Computer Vision Basics
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: Advanced Architectures (ResNet, VGG, EfficientNet)
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Object Detection & Segmentation Techniques
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Lab: Image Classification Project
Day 3: 26th November 2025 - Sequence Models
- 09:30 AM – 11:00 AM: RNNs & Sequential Data Processing
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: LSTMs, GRUs & Attention Mechanisms
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Time Series Forecasting Applications
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Lab: Text Generation/Time Series Prediction
Day 4: 27th November 2025 - Transformers & Advanced Topics
- 09:30 AM – 11:00 AM: Transformer Architecture & Self-Attention
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: BERT, GPT & Modern LLMs
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Transfer Learning & Fine-tuning Strategies
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Lab: Fine-tuning Transformer Models
Day 5: 28th November 2025 - Deployment & Optimization
- 09:30 AM – 11:00 AM: Model Quantization & Pruning
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: Deployment Strategies (ONNX, TensorRT)
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Final Project Implementation
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Project Presentations & Certification
All sessions include hands-on labs using Python with PyTorch/TensorFlow. Participants should bring laptops with required software pre-installed.
Meet Your Program Director
Prof. (Dr.) Brajesh Kumar
Professor of Economics | Data Scientist | GST Expert | Program Director, MBA (Financial Management) | Data Scientist | Machine Learning Architect | Computational Econometrician | Chief Editor, NIFM Journal of Public Financial ManagementProf. (Dr.) Brajesh Kumar, a distinguished academician with ~28 years of experience, serves as Professor of Economics and Program Director (MBA-FM) at AJNIFM. He holds advanced degrees in Economics, Business Analytics, and Computer Applications, and is a certified Lean Six Sigma Black Belt. His expertise spans GST, data science, machine learning, and computational econometrics.
A prolific trainer and consultant, Dr. Kumar has led 220+ MDPs, advised government bodies on taxation and finance, and contributed to national and international research projects. He has represented India at global academic forums and developed digital governance tools using PHP, MySQL, and AI-based analytics.
"The hands-on approach of this program was exceptional. Coming from a software background, I was able to quickly grasp complex deep learning concepts and immediately apply them to my work in computer vision."
Program Details
Dates: 24th November 2025 – 28th November 2025
Duration: 5 Days | 30 Hours of Expert-Led Training
Mode: Offline (In-person at AJNIFM Campus)
Venue: Hall 12, AJNIFM, Faridabad
Program Director: Prof. (Dr.) Brajesh Kumar
Fees: ₹46,000 per participant
Includes comprehensive study materials, lab access, lunch, and certificate
Group discounts available for 3+ participants
Status: Open for Registration
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Contact Information
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Fee: ₹46,000
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