Course Details
Agentic AI with Python
6 weeksCourse Outline
Agentic AI with Python Training in Nepal
Learn to Build Autonomous AI Agents with Hands-On Practical Training
Future-Ready, Project-Based & Industry-Focused Program
Master the next generation of AI by learning how to design, build, and deploy intelligent agents that can reason, plan, use tools, remember context, and solve real-world problems.
No unnecessary theory. No outdated concepts.
Only practical skills that help you build the AI systems shaping the future.
What You Will Be Able To Do After This Training
You will learn how to:
- Build intelligent AI agents using Python
- Design autonomous systems beyond traditional chatbots
- Integrate Large Language Models into real applications
- Implement memory and Retrieval-Augmented Generation (RAG) systems
- Connect AI agents with APIs, databases, and external tools
- Develop multi-agent collaborative workflows
- Build applications using LangChain and LangGraph
- Fine-tune LLMs using modern techniques
- Test, optimize, and deploy production-ready agents
- Create end-to-end Agentic AI solutions
Future-Ready Agentic AI Skills
- You will master how to:
- Design and develop autonomous AI agents
- Engineer effective prompts and reasoning workflows
- Implement planning and decision-making capabilities
- Enable long-term memory and contextual understanding
- Build agents capable of tool usage and automation
- Develop scalable multi-agent architectures
- Fine-tune models efficiently using PEFT and LoRA
- Deploy reliable and secure AI systems
Build the intelligent systems that modern organizations are adopting today.
What You Will Learn (Modules Covered)
Introduction to Agentic AI
- Foundations of AI & Machine Learning
- Large Language Models (LLMs)
- Agent Architectures & Design Patterns
- Reasoning, Planning & Decision Making
- Memory, RAG & Knowledge Systems
- Tool Use & API Integration
- Multi-Agent Systems
- LangChain & LangGraph Frameworks
- Testing, Evaluation & Optimization
- Deployment, Ethics & Security
- Fine-Tuning Large Language Models
- Capstone Project Development
Who This Course Is For
Perfect for:
- Python developers exploring AI applications
- AI and Machine Learning enthusiasts
- Software engineers building intelligent products
- Data professionals transitioning into Generative AI
- Students aiming for careers in emerging technologies
- Professionals seeking future-ready AI skills 2
Basic Python programming knowledge is recommended.
Why This Training Is Different
- Learn by building real AI agents from scratch
- Practical labs in every module
- Industry-relevant frameworks and workflows
- Project-driven learning approach
- Exposure to modern Agentic AI patterns
- Focus on implementation, not just concepts
- Capstone project showcasing real-world applications
Tools & Technologies You Will Learn
Python
- OpenAI APIs
- LangChain
- LangGraph
- Vector Databases
- Hugging Face
- PEFT / LoRA
- Retrieval-Augmented Generation (RAG) Tools
- Docker Deployment Concepts
- API Integrations
- Git & Development Tools
…and many more.
Career Opportunities After This Training
After completing this course, you can:
- Work as an AI Engineer
- Become an Agentic AI Developer
- Build autonomous business applications
- Develop enterprise AI solutions
- Contribute to Generative AI projects
- Freelance on AI implementation projects
- Create and launch your own AI products
Start Building the Future with Agentic AI Agentic AI is transforming how software interacts, reasons, and automates tasks.
This training is designed to help you:
Learn practical skills → Build intelligent agents → Develop real projects → Advance your AI career
Frequently Asked Questions (FAQ) – Agentic AI with Python Training in Nepal
What is Agentic AI?
Agentic AI refers to intelligent systems capable of reasoning, planning, making decisions, using tools, and autonomously completing tasks to achieve specific goals.
Do I need prior experience to join this course?
Participants should have fundamental Python programming knowledge and a basic understanding of programming concepts. Prior AI experience is beneficial but not mandatory.
What frameworks will I learn?
You will work with industry-relevant technologies such as LangChain, LangGraph, OpenAI APIs, vector databases, Hugging Face, and RAG systems.
Will this course include hands-on projects?
Yes. Every module includes practical exercises, and the course concludes with a capstone project where you build a real-world AI agent.
Can this training help me in my career?
Absolutely. Agentic AI skills are increasingly in demand across industries, opening opportunities in AI engineering, software development, automation, and intelligent product design. 4
Will I receive a certificate?
Yes. Participants who successfully meet the completion criteria will receive a certificate upon completion of the training.