Neurons to Mixture of Experts: Deep Learning Mastery Bootcamp
ANN • CNN • RNN • LSTM • Transformer • MoE — with real-time industry and UN SDG capstone projects
Program Director: Dr S Satyanarayana, CEO & Chief Agentic AI Scientist, AlgoProfessor AI R&D Solutions
Five modules, thirty days
Every day combines a concept session with a hands-on lab, building from a single neuron to sparse Mixture-of-Experts models and a deployed real-time system.
What you will learn and build each day
Step through the program one day at a time, or press play to watch all 30 days unfold.
Full syllabus by module
Who attends, what you gain, what you receive
Who should attend
- B.Tech / M.Tech / MCA students and final-year project teams
- Faculty members and Ph.D. scholars in AI, CSE and data science
- Software engineers moving into AI / ML roles
- Industry R&D teams building real-time AI systems
- Startup founders working on SDG-impact products
Learning outcomes
- Derive and explain the mathematics of all six architectures
- Implement each one in PyTorch from first principles
- Choose the right model for tabular, image, sequence and text data
- Fine-tune pre-trained Transformers, LLMs and MoE models
- Deploy and monitor a real-time AI system with MLOps tools
- Deliver an SDG-aligned capstone ready for publication or a pilot
What you receive
- The complete reference handbook (Parts A–E)
- Six tested PyTorch programs with sample outputs
- 60 project briefs with solution hints
- 17 SDG industry blueprints and the production-stack guide
- Personal capstone review by the program director
Prerequisites: basic Python and school-level linear algebra, calculus and probability.
Careers, sectors and salaries
The six architectures, MLOps and the SDG capstone map directly onto the AI roles companies hire for today. Choose a role to see what it involves, which modules prepare you, and typical pay in India.
Fresher pay depends strongly on the employer
Sectors hiring these skills
From bootcamp to first role
- Learn30 days of concepts and labs: ANN to MoE, MLOps and responsible AI.
- Build a portfolioSix PyTorch programs, module projects and a deployed SDG capstone on GitHub.
- Show evidenceA capstone report or paper draft and a live demo you can show interviewers.
- ApplyInternships and entry roles in ML, computer vision, GenAI, MLOps or data science.
- GrowSpecialise (LLMs, MLOps, edge AI) to move into senior and lead bands.
About these figures. Salaries are indicative annual CTC ranges in India (LPA = lakh per annum) for 2026, compiled from public salary guides (Scaler, HireStepX, E&ICT IIT Kanpur, Futurense, Kaam.work). Actual offers vary with city, employer, prior experience, interview performance and market conditions. They are market information only: completing the bootcamp does not guarantee a job, placement or a particular salary.
per participant • 30-day program
- 5 modules, 30 concept sessions and 30 hands-on labs
- Complete handbook, six PyTorch programs, 60 project briefs
- 17 SDG blueprints and production-stack guide
- SDG capstone with personal review by the program director
AlgoProfessor AI R&D Solutions
Email: ceo@algoprofessor.com
Learn it. Build it. Deploy it for impact.
Enrol / enquire
Fill in the form and the program team will reply by email with cohort dates and enrolment details.
Frequently asked questions
What do I need to know before joining?
Basic Python and school-level linear algebra, calculus and probability. Day 1 sets up the complete tool stack, so no prior deep-learning experience is required.
How is each day organised?
Each day has a concept session followed by a hands-on lab with a concrete outcome, for example training cnn.py on MNIST or building a RAG chatbot with LoRA fine-tuning.
What is the SDG capstone?
In Days 27–30 you choose a UN Sustainable Development Goal project, define a measurable KPI, build the data pipeline and a baseline, train a hybrid CNN / LSTM / Transformer / MoE system, deploy it as a Streamlit app or API, and present it on demo day for expert review.
What does the fee include?
INR 1,00,000 per participant covers the 30-day program, the complete reference handbook (Parts A–E), six tested PyTorch programs, 60 project briefs with solution hints, 17 SDG industry blueprints with the production-stack guide, and a personal capstone review by the program director.
When does the next cohort start?
Send an enquiry using the form above, or email ceo@algoprofessor.com, for upcoming dates and group enrolment.