Become a Full Stack Developer in 12 Months — Guaranteed Job
The Brain Rewiring Program transforms how you think, solve problems, and build real-world tech solutions using modern tools and AI.
Not Just Coding — We Rewire Your Thinking
Most courses teach you syntax. We teach you how to think like an engineer — solve problems, build systems, and create real-world impact using modern tools and AI.
Think Like an Engineer
Learn first-principles thinking and develop a deep problem-solving mindset.
System-Level Thinking
Understand how real-world systems work — not just isolated pieces of code.
AI as Your Partner
Use AI effectively to improve logic, productivity, and development speed.
Build Real Solutions
Work on real-world problems and build applications that actually matter.
Course Curriculum
| Week | Theme | Key Concepts |
|---|---|---|
| 1 | The Observational Mind | Observing daily life problems, finding inefficiencies, and Active Note-taking (Cornell/Zettelkasten for meetings). |
| 2 | Logic & Extension of Thought | First principles thinking, mental models, and brainstorming frameworks. |
| 3 | The Developer’s OS | Git/GitHub flow, CLI mastery, and setting up an AI-Enhanced IDE environment. |
| 4 | Python: Why it Exists | Logic flows, types, and variables. Focus on "What problem does this specific data structure solve?" |
| 5 | Functional Thinking | Writing reusable code, modularity, and the "Don't Repeat Yourself" (DRY) principle. |
| 6 | AI as a Pair Programmer | Prompt Engineering for code: how to ask AI for logic, not just syntax. Understanding AI hallucinations. |
| 7 | Data Modeling (Mental to Digital) | Thinking in schemas. How do we represent a real-world object (like a car or a bank account) in code? |
| 8 | Databases (SQL) | Relational algebra, normalization, and "Why we don't just put everything in one big Excel sheet." |
| 9 | The Art of Documentation | Writing for humans. Technical specs, READMEs, and "Future-Proofing" your thoughts. |
| 10 | Problem Solving: The "Deep Dive" | Root Cause Analysis (5 Whys) applied to debugging and system failures. |
| 11 | Team Spirit & Leadership | Conflict resolution in tech, Peer Reviews (how to give/take feedback), and Agile basics. |
| 12 | Q1 Project: The MVP Planning | Brainstorming a solution for a real-world daily problem. Full documentation and logic mapping. |
| 13 | Q1 Project: Implementation | Building a CLI-based Python tool that solves the Week 12 problem. |
| Week | Theme | Key Concepts |
|---|---|---|
| 14 | The Modern Web (Next.js) | Why React/Next? Component-based thinking and the "State" of things. |
| 15 | UI/UX Design Thinking | Figma basics, accessibility, and "Designing for the User, not the Developer." |
| 16 | AI-Driven Frontend | Using v0.dev or Claude to generate UI components and then refining them manually. |
| 17 | APIs: The Glue of the Internet | REST vs. GraphQL. Designing APIs that other people actually want to use. |
| 18 | FastAPI & Backend Logic | Connecting Python to the web. Security, Authentication (JWT), and Middleware. |
| 19 | NoSQL & Advanced Data | When to use MongoDB/Redis vs. Postgres. Warehousing concepts. |
| 20 | Analytics & Action Boards | Translating raw data into "Actionable Insights." Building your first dashboard. |
| 21 | The "Mindful AI" Agent | Building a custom AI agent (using LangChain or similar) to interact with your own data. |
| 22 | Advanced Problem Solving | System Design 101: How to handle 100 users vs. 100,000 users. |
| 23 | Testing & Quality Assurance | Unit tests, Integration tests, and why "It works on my machine" is a failure. |
| 24 | Project Planning (The Big Build) | Identifying a complex problem (e.g., a mini-ERP or Social Tool). Tech stack selection. |
| 25 | Q2 Build: Part 1 | Frontend/UI Development and API design. |
| 26 | Q2 Build: Part 2 | Database integration and Analytics Dashboarding. |
| Week | Theme | Key Concepts |
|---|---|---|
| 27 | Security: Thinking Like a Hacker | OWASP Top 10, SQL injection, and securing API endpoints. |
| 28 | Cloud Management (AWS/GCP) | S3, EC2, Lambda. "The Cloud is just someone else's computer"—how to use it wisely. |
| 29 | Docker & Containerization | Making code portable. "Build once, run anywhere." |
| 30 | CI/CD Pipelines | Automating deployment. GitHub Actions and Blue/Green deployments. |
| 31 | Performance Monitoring | Logging, Observability, and finding bottlenecks in your system. |
| 32 | The Business of Engineering | Cost-benefit analysis of tech stacks. "Is this tool worth the $100/month?" |
| 33 | Soft Skills: Public Speaking | Presenting your work to non-tech stakeholders. Storytelling with data. |
| 34 | Leadership & Mentorship | How to teach others. Leading a "Sprint" and managing a Trello/Jira board. |
| 35 | Future Tech & Adaptability | Learning how to learn. Keeping up with AI advancements without losing the fundamentals. |
| 36 | The Grand Capstone: Concept | A full-scale application including Cloud, Security, AI, and Analytics. |
| 37 | The Grand Capstone: Build | Intensive development phase with daily stand-ups. |
| 38 | The Grand Capstone: Scaling | Load testing and optimizing the final build for production. |
| 39 | Review & Career Launch | Portfolio building, Interviewing (Technical + Behavioral), and "Mindful Work" ethics. |
Career Support
Get your resume professionally reviewed and practice with industry-style interviews.
Personalized guidance from industry experts to help you navigate your learning journey.
Our dedicated placement team will help you find the right opportunities in the industry.
Gain practical experience by working on real-world, industry-focused live projects that prepare you for actual job roles.
Expert Mentorship
Learn from industry leaders and academic experts with decades of experience in AI, ML, and technology transformation.
Dr. Ashok Rao
AI/ML Thought Leader
A pioneer in AI/ML and Digital Signal Processing with over 35 years in academia and industry. Former faculty at IIT Bombay, IISc Bangalore, and NITK.
Dr. Arulalan Rajan
SME, AI/ML POC, Trainer
Founder of vidyAkoshA and R&D Advisor at Epicminds. Ph.D. from IISc Bangalore. An expert in applied mathematics, VLSI, and edge-based AI solutions.
Dr. Nitish A
ML Researcher & Educator
Specializes in Network Security and attack detection, with a knowledge of Machine Learning & Artificial Intelligence, Edge Computing, Probability and Statistics. His current research interest includes Natural Language Processing, Generative AI, and LLM finetuning with applications across multiple domains
Dinesh Rao
Project Manager & Architect
With 30+ years in e-Governance, Dinesh is an PMP/ITIL certified architect behind major government tech initiatives.
Anand Krishnamurthy
Project Mentor & Architect
A veteran in government digital transformation, Anand leads data standardization via EDX, EDI, and Digital Lego.
Ramanuja Simha
ML Scientist
Bioinformatics expert and deep learning innovator. Known for research in protein localization, cancer gene analysis, and scheduling using GNNs.
Sameer Bhide
Data Visualization Expert
A data visualization expert with over 20 years of experience in Power BI, DAX, M language, ETL processes, and data modeling. He is also an effective mentor, helping individuals develop strong analytics skills and deliver impactful business insights.
Shashank H U
AI Systems Specialist
Key player in intelligent automation and data-centric AI systems. Passionate about leveraging ML to create real-time solutions.
Build Real Projects. Become Industry Ready.
CLI-Based Problem Solver
Build a Python-based tool that solves real-world problems using logic and structured thinking.
Full-Stack Web Application
Create a complete application with frontend, backend, APIs, and database integration.
Analytics Dashboard
Transform raw data into actionable insights using dashboards and visualization tools.
AI-Powered Application
Build intelligent systems using AI tools to automate and enhance real-world workflows.
Scalable Backend System
Develop secure and scalable backend systems with APIs, authentication, and cloud integration.
Final Capstone Project
Build a production-ready application combining frontend, backend, AI, cloud, and security.
Admission Details
Ready to start your journey into the world of AI/ML? Apply now for our upcoming batch.
Eligibility Criteria
- Open to Freshers and Experienced Professionals
- Basic programming knowledge is recommended
- Strong analytical and problem-solving skills
Program Details
- Duration: 4 Months
- Days: Monday to Friday
- Timings: 10:00 AM – 7:00 PM
- Mode: Onsite (Bangalore)