2-Day Hands-On Workshop: Foundations to Building AI-Powered Applications
An intensive 2-day program covering AI, LLMs, MCP, RAG, and real application builds.
Live Sessions
Interactive
Format
Instructor-led sessions, live coding, hands-on labs, discussions, and Q&A
What You'll Learn
A visual journey through AI concepts and practical applications
AI Fundamentals
Core concepts of AI, ML, and LLMs
Hands-on Coding
Build real AI applications
MCP & RAG
Modern AI architecture patterns
Career Ready
Industry-relevant skills
Workshop Journey
Foundations
- Programming Basics
- AI Concepts
- LLM Introduction
Building
- AI Applications
- MCP Servers
- RAG Implementation
Mastery
- Real Projects
- Career Skills
- Certificate
Workshop Overview
This two-day intensive workshop is designed to provide students and working professionals with a structured, end-to-end understanding of Artificial Intelligence, Large Language Models (LLMs), and practical AI application development. The program balances conceptual clarity, hands-on implementation, and strategic discussions on the future of AI and career opportunities.
Delivery Format
Instructor-led sessions, live coding, hands-on labs, discussions, and Q&A
Mode
In-person / Online / Hybrid (configurable)
Prerequisites
- Laptop or Personal Computer
Transform Your Career with AI
Join industry experts and build real-world AI applications
Target Audience
- Undergraduate and postgraduate students (CS, IT, AI-curious domains)
- Working professionals (Developers, QA, DevOps, Tech Leads)
Experience Strategy
- Concepts explained from first principles
- Advanced insights layered progressively for professionals
- Peer learning encouraged during hands-on labs
Learning Outcomes
By the end of this workshop, you'll have mastered these key concepts and skills
Key Benefits
A structured learning experience that blends hands-on skill building with career momentum.
Technical Benefits
- Hands-on experience building real AI-powered applications end-to-end
- Clarity on modern AI architecture used in production systems
- Practical exposure to LLM integration using Python and Node.js
- Understanding of MCP, RAG, and Agentic AI paradigms
- Improved ability to design scalable, AI-ready systems
Career Benefits
- Positions participants for AI-driven roles and responsibilities
- Enhances resume with practical AI project experience
- Builds confidence with modern AI tools and platforms
- Helps professionals stay relevant in an AI-first landscape
Learning Experience
- Fully offline, instructor-led, interactive environment
- Live code-along model ensures no passive learning
- Structured progression from basics to advanced concepts
- Peer learning and real-time doubt resolution
Strategic Benefits
- Clear understanding of where AI is heading and how to adapt
- Insight into how AI is reshaping industries and job roles
- Ability to identify opportunities to apply AI in real-world projects
Curriculum
Two days of structured, hands-on sessions with continuous checkpoints.
Workshop Deliverables
- Complete working source code developed during sessions
- Step-by-step lab guides and references
- Slides covering conceptual frameworks
- Post-workshop learning roadmap
- Certificate of Participation (based on attendance and engagement)
Customization Options
- Audience-specific depth (Students vs Professionals)
- Language focus (Python-first / Node.js-first)
- Extended hands-on labs
- Corporate or academic branding
- Mini capstone on Day 2 (optional)
Logistics & Requirements
- Laptop with minimum 8GB RAM (recommended)
- Stable internet connection
- Daily structure: 60-90 minute sessions with short breaks
- Hands-on lab time embedded in each session
Positioning & Value
- Practical AI enablement program, not a theoretical seminar
- End-to-end AI application development exposure
- Real-world architectural patterns (MCP, RAG, Agentic AI)
- Focus on developer productivity and industry relevance
- Immediate applicability post-workshop
Seats are limited
Reserve your spot now
Get hands-on guidance from senior AI engineers and transform your career.