5-Day Project-Based Training on AI Automation & Agentic AI
“Students don't just learn about AI — they build, integrate, automate and deploy with it.”
A rigorous, hands-on experiential curriculum prepared for Academic Institutions, Engineering Departments & Training Cells. From problem analysis to deployed cloud software.
From Theory to Live Execution in 8 Steps
Students follow the exact industrial lifecycle used in modern AI engineering and tech startups. Click any step below to explore what students achieve.
Problem Phase
Identify and decompose a real-world technological challenge. In this phase, mentors guide students through systematic technical execution to ensure production-grade output.
Day-by-Day Hands-on Schedule
Each day pairs core concepts with live mentor demonstrations and 100% applied implementation. Explore the daily syllabus below:
Problem Understanding & Foundation Assessment
Assess foundational programming knowledge, analyze real-world industrial problem statements, and architect the project tech stack.
Core Knowledge & Concepts
- Assess foundational programming knowledge and algorithmic problem-solving ability
- Understand how students decompose real-world business and technical challenges
- Analyze industry problem statements and identify automation opportunities
- Select the appropriate programming language, frameworks, and AI tools
- Define formal project objective, scope boundaries, and initial architectural approach
Hands-on Applied Lab Tasks
What Students Master in 5 Days
Six deeply engineered modules bridging modern Agentic AI, workflow automation engines, and cloud production pipelines.
AI Agents & Agentic AI
Master the shift from passive chatbots to autonomous agents that reason, plan, and execute multi-step tools.
AI Workflow Automation
Connect disparate apps, webhooks, and AI models into fully automated self-triggering pipelines.
AI-Assisted Software Development
Harness state-of-the-art coding copilots and autonomous IDE agents to accelerate development 10x.
MCP & RAG Architecture
Supercharge AI with private knowledge bases and standardized tool interfaces.
APIs & Google Workspace Integrations
Integrate real cloud ecosystems, OAuth authentication, and Google Workspace tools.
Git, GitHub & Cloud CI/CD Deployment
Transform local code into live public web applications with automated deployment pipelines.
Interactive AI Project Architecture Simulator
See how the 5 days come together into an end-to-end working AI Automation product built and deployed by students.
Student Prerequisites & Readiness Checklist
Check off your requirements below to see your readiness score for the 5-day hands-on experience.
Cohort Readiness Score
🚀 Perfectly ready for full 5-day project build!
Foundational Programming Knowledge
Basic understanding of at least one language: Python, C, C++, Java, or JavaScript/Node.js. Mastery not required; students should know variables, loops, functions, and logic.
AI Development Tool Readiness
Readiness to configure modern AI environments like Google Antigravity, OpenAI Codex, or Claude Code where applicable for project work.
Basic VS Code & Terminal Familiarity
Comfort with opening projects, creating files/folders, installing extensions, using the integrated terminal, and running simple commands.
Laptop / PC & High-Speed Internet
Access to a laptop/PC (personal or institution lab) capable of running modern browsers and development tools, with stable internet connectivity.
Required Accounts & Access
Active GitHub account, Google account, and access to designated development/deployment platforms.
Problem-Solving & Project Mindset
Enthusiasm to analyze real-world problems, read technical documentation, debug errors, and collaborate actively throughout the 5 days.
Transparent, Tiered Institution Pricing
Volume-based rates from ₹749 to ₹849 / Student for the complete 5-day project-based immersion.
Class Cohort (50-99 Students)
Ideal for single departments or specialized elective batches needing hands-on immersion.
Department Batch (100-249 Students)
Comprehensive training for entire CSE, IT, or AI departments with multiple mentor tracks.
Campus-Wide (250+ Students)
Full campus hackathon-style immersion with customized problem statements and capstone expo.
Recommended For Aspiring Builders
Computer Science, IT & Engineering
Students pursuing B.E./B.Tech/Diploma in CSE, IT, AI & Data Science, Electronics, or allied engineering disciplines.
AI & Data Science Enthusiasts
Learners seeking practical engineering skills beyond theory to build autonomous AI systems and intelligent workflows.
Aspiring Software & Cloud Engineers
Students who want hands-on experience with modern Git workflows, API integrations, and cloud deployment pipelines.
Student Founders & Innovators
Students building startup MVPs, hackathon projects, or technical capstones needing rapid AI-powered execution.
What Every Student Takes Away
Frequently Asked Questions
Clear answers for Department Heads, Faculty Coordinators, Training Cells, and Students.
Bring Project-Based AI Automation & Agentic AI Training to Your Campus.
Equip your students with practical, industry-grade skills to build, automate, and deploy real AI applications. Structured 5-day curriculum at just ₹799 per student.