Unlock Your Potential: Master AI Today to Lead Future Innovations.
Neural learning hub offers live, interactive, and hands-on program designed to help you create production-ready AI systems from scratch.
Ideal for anyone looking to build AI/ML-based solutions to tackle real-world challenges, this course focuses on practical skills essential for building functional and deployable systems.
Through a guided teaching experience, you'll navigate the full project lifecycle—from pitching and planning to structuring, implementing, and optimizing solutions using industry-grade open-source tools that can run anywhere.
Explore CoursesAt Neural Learning Hub (NLHub), we are committed to making AI education engaging and effective, guided by senior software deveopers, PhD holders and prestigious university alumni.
NLHub's core mission is to enable AI career aspirants with knowledge, tools, learning frameworks, and real-word project experience to supercharge their career in AI.
Humans learn best with stories.
Our tutors prefer to teach with stories that get you most excited and keep you motivated throughout the course.
You'll learn best practices to tackle the most significant challenges engineers face when building, evaluating, running, monitoring, and maintaining systems in production.
You will get real-world project statement with full implementation details. Your tutor will mentor you in completing the project, uploading to github, and helping you in writing a professional blog. This will be a crucial step in helping you for your next AI role.
You'll learn all the concepts followed by easy to follow and lecture correlated code walkthroughs. This will be your ride to strengthen the fundamentals.
You'll get lifetime access to all lecture materials, guest lectures, industry leader podcasts and a membership to a private community where you can collaborate with thousands of people from different backgrounds.
Our tutors will mentor in resume writing and teach you important techniques in hunting and applying for jobs. They'll also help you access their network for your potential referral.
A verifiable and industry peer recognized course completion certificate (upon successful course completion), to help you boost your chances of success and grow your network.
Dr. Vinay Joshi, a principal scientist at Microsoft, has previously worked at AMD, Intel, and IBM, Dr. Vinay Joshi, a principal scientist at Microsoft, has previously worked at AMD, Intel, and IBM, driving AI innovations and hardware acceleration. A contributor to top-tier AI publications, he is passionate about sharing his expertise and preparing candidates for AI roles with targeted teaching and interview guidance. read more...
Industry has a serious demand for AI talent and its growing everyday. To fill this in, we want to help people supercharge their career in AI.
We want to achieve this by making learning AI a fun and interactive activity. It should enable you to learn concepts that you never forget.
Hands-on course focusing on foundations of generative AI from deep learning to agents . Even if you are a beginner do not worry! This course will guide you through relevant prerequisites so that you are comfortable throughout the course.
| DoW | Activity | Time |
|---|---|---|
| Mon | Individual work | - |
| Tue | Individual work | - |
| Wed | Classroom hours | 9-10 AM, 5:30-6:30PM |
| Thu | Classroom hours | 9-10 AM, 5:30-6:30PM |
| Fri | Individual work | - |
| Sat | Teaching | 9AM - 1PM |
| Sun | Teaching | 9AM - 1PM |
| Duration | Chapter | Topic |
|---|---|---|
| Week 1 (29th Nov 2025) | Deep learning basics | Neural networks (MLP, CNNs) training techniques and inference, Regularization, Normalization, Objective functions, Optimizers, Reinforcement learning. |
| Week 2 - Week 4 | LLMs | Architectures, pretraining, SFT, RLHF/DPO/GRPO, optimization (quantization, KV-cache management, distributed implementation), serving, API integration. |
| Week 5 | Prompt engineering | Basics, prompt design techniques, prompt optimizations, structured & programmatic prompting, domain specific prompting, evals. |
| Week 6 - 7 | RAG | Core RAG architecture, Retrieval fundamentals, evals, hybrid architectures, deployment frameworks. |
| Week 8 - 10 | Agents | Foundations, agent architectures, tool use integration, memory, evals, frameworks. |
| Week 11 - 13 | Projects | A comphrehensive list of industry-grade projects and detailed guidance on building robust and deployable solution. |
Hands-on course focusing on multi-modal AI with latest in-demand industry-demanding techniques.
| DoW | Activity | Time |
|---|---|---|
| Mon | Interactive class | 1700-1830 IST |
| Tue | Individual work | - |
| Wed | Individual work | - |
| Thu | Individual work | - |
| Fri | Interactive class | 1700-1830 IST |
| Sat | 2 Weeks | 0900-1500 IST |
| Module | Duration | Instructor | Mode |
|---|---|---|---|
| Introduction to AI | 2 Weeks | Dr. Smith | Online |
| Advanced Module | 4 Weeks | Dr. Doe | Hybrid |
| Advanced Module | 4 Weeks | Dr. Doe | Hybrid |
Still struggling with some questions? Email or WhatsApp us with your queries and we will get back to you in no time.
team@neurallearninghub.in
+91 8050 39 2223
