Program Objective:
The Fundamentals of Agentic AI program is designed to help learners understand how AI agents think, plan, and act autonomously. Participants will learn how to build intelligent AI agents capable of reasoning, decision-making, automation, and task execution using modern AI frameworks.
This program is ideal for students, developers, business professionals, and AI enthusiasts who want to enter the next generation of AI innovation.
How SkillSet Arena Will Help Learners:
1.Industry-Focused Learning:
SkillSet Arena provides practical training designed with real industry use cases so learners understand how Agentic AI is applied in business environments.
2.Hands-On Projects
Participants will build AI agents, automation workflows, and real-world projects that can be added to their professional portfolio.
Career & Skill Development:
Learners will receive:
- Expert mentorship
- Career guidance
- AI portfolio development
- Exposure to advanced AI programs
Who Should Join:
- Students interested in AI
- Software developers
- Data science learners
- Business professionals
- Entrepreneurs exploring AI automation
Program Details:
Module 1: Foundations
- Introduction to Generative AI (GENAI)
- History, evolution, and applications
- Key differences between traditional AI and GENAI
- Large Language Models (LLMs) In Depth
- Architecture (Transformers, attention mechanisms)
- Training, fine-tuning, and scaling laws
- Natural Language Processing (NLP) Hands-On
- Tokenization, parsing, sentiment analysis
- Practical exercises with text datasets
Module 2: Core Techniques
- Tokens, Sentences, Word Count
- How LLMs process text
- Tokenization strategies and efficiency
- Hands-On Prompt Engineering
- Crafting effective prompts
- Techniques: zero-shot, few-shot, chain-of-thought
- LLM Hands-On Lab
- Experimenting with open-source LLMs
- Fine-tuning and inference exercises
Module 3: Agentic AI
- Generative AI Agents
- What agents are and how they differ from LLMs
- Use cases: automation, reasoning, decision-making
- Agentic AI Concepts
- Autonomy, planning, and tool use
- Ethical considerations and safety
- LangChain Framework
- Building applications with LangChain
- Chains, tools, and memory modules
Module 4: Advanced Context & Retrieval
- Retrieval-Augmented Generation (RAG)
- Why RAG improves LLM performance
- Building RAG pipelines with vector databases
- Vectors & Embeddings
- Mathematical foundations
- Applications in semantic search and clustering
- Context Engineering
- Managing context windows
- Techniques for scaling context in production
Module 5: Towards Production
- Model Context Protocol (MCP)
- Standardizing context exchange
- Practical implementation examples
- Anthropic Claude overview & Anthropic AI fluency
- Agents Towards Production
- Deployment strategies.
- Monitoring, scaling, and real-world challenges
Certification:
Participants will receive a “Fundamentals of Agentic AI Certification” from SkillSet Arena after completing the program.
After completing the Fundamentals of Agentic AI program is not the end of your journey, but the beginning of a new chapter in the world of intelligent innovation. You have explored how AI agents think, reason, and act to solve real problems. The knowledge you gained will empower you to create smarter systems, automate complex tasks, and contribute to the future of technology. Remember, the world is entering an era where intelligent machines collaborate with human creativity. Continue learning, experimenting, and building solutions that make a difference. Thank you for being part of this transformative journey with SkillSet Arena. The future of AI is yours to build.