Agentic AI courses teach you to design and deploy autonomous, goal-driven agents with orchestration tools like LangGraph and AutoGen. Requiring only basic Python and cloud, they fast-track learners into high-demand, well-paid roles that drive enterprise automation and productivity. In short, enrolling fast-tracks you to skills that are reshaping productivity and competitive advantage in the Gen-AI era.
Who Should Join?
👩🎓 Students of all streams – Engineering, Arts, Science, Commerce
💼 Job seekers, interns, and recent graduates
🧑🏫 Career counselors, placement officers, and faculty
🌱 Anyone curious about AI’s role in the job market
📈 Future-focused individuals who want to stay ahead of trends
Why This Workshop is a Game-Changer
✅ Get career clarity in the AI-driven era
✅ Understand how AI is reshaping every industry
✅ Explore future job roles, salaries, and skill sets
✅ Learn how to build an AI-aware resume and profile
✅ Discover AI tools that boost employability
✅ Stay relevant, adaptable, and future-proof
What you’ll Learn (Modules)
From NLP Foundations to LLM-Powered AI Agents
A 3-month hands-on journey for future-ready AI professionals
Month 1: PromptCraft 101: Mastering NLP & Small-to-Large Language Models
Week 1: Introduction to NLP & SLM
Basic NLP concepts and Small Language Models (SLMs).
Week 2: Transformer Models & LLMs
Key architectures of Transformer-based models and LLMs.
Week 3: Prompt Engineering Basics
Crafting effective prompts and exploring sampling methods.
Week 4: Advanced Prompt Engineering
Structured and multi-turn prompting for complex applications.
Month 2: RAG & Remix: Retrieval-Augmented Generation and Fine-Tuning in Action
Week 5: Introduction to RAG
Fundamentals of Retrieval-Augmented Generation (RAG).
Week 6: Hands-on RAG Implementation
Setting up RAG pipelines with vector search and LLMs.
Week 7: Basics of Fine-tuning LLMs
Introduction to fine-tuning LLMs and dataset preparation.
Week 8: Fine-tuning Hands-on
Fine-tuning LLMs and evaluating model performance.
Month 3: LLM Agents Unleashed: Build Autonomous AI That Works for You
Week 9: Introduction to Al Agents
Overview of AI agents and autonomous task handling.
Week 10: Building AI Agents with LLMs
Developing LLM-powered agents for specific use cases.
Week 11: Optimizing and Scaling AI Agents
Techniques for optimizing and deploying AI agents.
Week 12: Project Accelerate Build & Launch Your LLM-Powered Agent
Capstone project integrating RAG, fine-tuning, and agents.
Outcomes You Can Expect:
🧠 Deep understanding of how agentic AI agents are revolutionizing industries and career opportunities
📊Personalized strategy to leverage autonomous AI agents for skill enhancement and professional growth
⚙️ Technical proficiency in building and deploying agentic AI solutions for your specific field
📥 Portfolio-ready projects showcasing your ability to work with advanced agentic AI systems
🚀Market leadership position in the emerging agentic AI landscape, giving you a first-mover advantage in your career
Organizer
- Mr. Ravi Singam is a highly competent Data Scientist and trainer.
- He trained more than 2500 students on different technologies.
- He has served the training industry for more than 12 years and contributed in developing complex enterprise software applications and automation solutions to national and international businesses across the globe.
- His training expertise is majorly into many advanced and trending technologies that includes Core & Advanced Python, Data Analytics, Data Science, Power BI, and VBA.