Agentic AI

The Next Evolution of Artificial Intelligence

What is Agentic AI? A Complete Guide to Autonomous Artificial Intelligence

Agentic AI Training in Nepal

Build intelligent AI agents that can reason, plan, use tools, and automate complex workflows.

If you're searching for the best Agentic AI course in Nepal, this is it. Code IT's intensive Agentic AI training program is designed to take you from AI fundamentals to building production-ready autonomous AI agents using the latest frameworks and technologies.

Agentic AI represents the next generation of artificial intelligence—systems that don't just respond to prompts but can independently plan tasks, make decisions, interact with tools, retrieve information, and execute multi-step workflows. As businesses increasingly adopt AI-powered automation, Agentic AI developers are becoming some of the most sought-after professionals in Nepal's growing technology industry.

This comprehensive course covers Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agent architectures, memory systems, tool calling, workflow automation, multi-agent systems, vector databases, and AI deployment. You'll gain hands-on experience with industry-leading frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI APIs, and modern AI development tools.

Throughout the training, you'll build real-world AI applications including AI research assistants, customer support agents, document processing systems, knowledge-base chatbots, workflow automation agents, and multi-agent collaboration projects. You'll also learn API integration, vector search, agent memory management, evaluation techniques, and Git-based team collaboration workflows used in professional AI development environments.

Live classes run from 8:00 PM to 9:30 PM via Google Meet, accessible from Kathmandu, Pokhara, Biratnagar, Butwal, Chitwan, Dharan, or anywhere in Nepal. Classroom sessions are also available in Dharan. Basic programming knowledge is recommended but not mandatory.

Every student receives lifetime video access, an industry-recognized certificate, practical project experience, and comprehensive learning resources to help them build a successful career in Artificial Intelligence and Agentic AI development.

Prerequisites

Familiarity with using the internet and web applications
Basic knowledge of Python is an advantage
A laptop or desktop computer with a stable internet connection
Agentic AI
🎯 Starts in 22 Days

Agentic AI

Starts: July 22, 2026
Mode: Online (Google Meet) Google Meet
Duration: 1 Month
Class Time: 8:00 - 9:30 pm
Seats available - Register now
Rs.2,500/-
Rs.30,000 Save 91%
Enroll Now

Have any Question?

WhatsApp: 9862130505
Telephone: 025-575163

Everything You Receive

All-inclusive support — from training to real-world experience

Live Classes

Google Meet
8:00 - 9:30 pm

Lifetime Videos

Re-watch anytime

Certification

Industry recognized

Internship

No internships are available right now.

Course Curriculum

Everything you'll learn — from fundamentals to advanced concepts

Course Outlines

  • AI

  • LLMs

  • and RAG Foundations

  • Prompt Engineering

  • Agent Foundations

  • Agent Architectures

  • Advanced Agentic AI

  • LangChain Essentials

Full Curriculum

01 Week 1 — AI, LLMs, and RAG Foundations
02 Day 1: AI Fundamentals
AI, ML, Deep Learning
Generative AI
Evolution of AI
Real-world applications
03 Day 2: NLP & Transformers
NLP basics
Embeddings
Attention mechanism
Transformer architecture
04 Day 3: Large Language Models
Tokens
Context windows
Pretraining
Fine-tuning
Inference
05 Day 4: Prompt Engineering
Zero-shot
Few-shot
Chain of Thought
Structured prompting
06 Day 5: Embeddings & Vector Databases
Embeddings
Similarity search
Chunking
Indexing
Tools:
FAISS, Chroma
07 Day 6: RAG Systems
RAG architecture
Retrieval pipeline
Context injection
Reranking
08 Week 2 — Agent Foundations
09 Day 7: What is an AI Agent?
Agent definition
LLM vs Agent
Agent lifecycle
10 Day 8: Tool Calling
APIs
Functions
External tools
Structured outputs
11 Day 9: Memory Systems
Short-term memory
Long-term memory
Episodic memory
Semantic memory
12 Day 10: Agent Architectures
ReAct
Reflection
Plan-and-Execute
Tree of Thoughts
13 Day 11: Planning & Reasoning
Goal decomposition
Task planning
Workflow generation
14 Day 12: Agent Evaluation
Hallucinations
Reliability
Metrics
Benchmarks
15 Week 3 — Advanced Agentic AI
16 Day 13: Multi-Agent Systems
Agent collaboration
Specialized roles
Communication patterns
17 Day 14: LangChain Essentials
Chains
Agents
Tools
Memory
18 Day 15: LangGraph
State
Nodes
Edges
Agent workflows
19 Day 16: CrewAI & AutoGen
Crews
Teams
Autonomous collaboration
20 Day 17: Production Concerns
Prompt injection
Security
Cost optimization
Observability
21 Day 18: Agentic AI Ecosystem
MCP
A2A (Agent-to-Agent)
Agent marketplaces
Future trends
22 Week 4 — Projects, Case Studies & Discussions

Earn Your Certification

After completing the course, you will receive a professional certificate from Code IT, verified by industry leaders in Nepal.

Share your achievement with pride on LinkedIn.
Certificate
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