Become an Agentic AI Engineer with Industry-Ready Skills
Learn to build intelligent AI agents that can think, plan, make decisions, use tools, automate tasks, and solve real-world problems.
Our Agentic AI Training Program takes you from beginner-level concepts to advanced, job-ready skills through hands-on projects, practical assignments, and real-world applications.
Whether you are a student, fresher, working professional, Python developer, or AI enthusiast, this course will help you build the skills required to work in the rapidly growing field of Generative AI and Agentic AI.
Start your journey towards becoming an Agentic AI Engineer!
Why Learn Agentic AI?
Artificial Intelligence is moving beyond traditional chatbots. Modern AI systems can now perform tasks independently using intelligent agents.
Agentic AI enables applications to:
- Understand user instructions and break them into tasks.
- Make decisions and plan multiple steps.
- Use external tools, APIs, and databases.
- Search, analyze, and process information.
- Collaborate with multiple AI agents.
- Automate complex business workflows.
Companies are increasingly exploring AI-powered automation, intelligent assistants, and autonomous workflows. Learning Agentic AI can help you prepare for emerging opportunities in AI engineering and automation.
What Will You Learn?
Our comprehensive curriculum covers:
1. Python Programming Fundamentals
- Python basics and advanced concepts
- Functions, OOP, modules, and packages
- File handling and exception handling
- APIs and JSON handling
- Working with virtual environments
2. Generative AI Fundamentals
- Introduction to Artificial Intelligence and Machine Learning
- Understanding Large Language Models (LLMs)
- OpenAI, Gemini, and Claude models
- Prompt Engineering
- Tokens, context windows, and temperature
- LLM limitations and hallucinations
3. LangChain Framework
- Introduction to LangChain
- Chat Models and Prompt Templates
- Output Parsers
- Chains and Runnables
- Structured Outputs
- Conversation Memory
- Tool Calling and Function Calling
4. Embeddings and Vector Databases
- Understanding Text Embeddings
- Semantic Search
- Vector Similarity
- FAISS and ChromaDB
- Document Loading and Text Splitting
- Building Retrieval-Augmented Generation (RAG) applications
5. Agentic AI Development
- Introduction to AI Agents
- Agent Architecture and Working
- ReAct Agents
- Planning and Reasoning
- Tool Integration
- Function Calling
- Autonomous AI Workflows
- Multi-Agent Systems
- LangGraph Fundamentals
- Agent State and Memory
- Human-in-the-Loop Workflows
6. Advanced Agentic AI
- Multi-Agent Collaboration
- Agent Communication
- Workflow Orchestration
- AI Research Agents
- Browser and Search Agents
- Database Agents
- API Integration
- Agent Evaluation and Monitoring
- Guardrails and AI Safety
7. Application Development and Deployment
- Streamlit Application Development
- Building AI-powered Web Applications
- Integrating LLM APIs
- Backend API Development
- Environment Variables and API Security
- Deploying AI Applications
Hands-On Industry Projects
Build practical projects to strengthen your portfolio and demonstrate your skills.
- AI Personal Assistant: Build an intelligent assistant that understands instructions and performs tasks using tools.
- AI Research Agent: Create an agent that searches the internet, gathers information, and generates detailed research reports.
- PDF Question Answering System: Develop an AI application that answers questions from uploaded documents using RAG.
- Multi-Agent Content Creation System: Build multiple collaborating agents for research, writing, and content review.
- AI Data Analyst Agent: Create an agent that analyzes datasets, generates insights, and produces visualizations.
- Customer Support AI Agent: Develop an intelligent customer support system that answers queries and retrieves information from a knowledge base.
- End-to-End Agentic AI Project: Design and deploy a complete multi-agent application using modern Agentic AI frameworks.
Career Opportunities After Completing the Course
After developing the required skills and building a strong project portfolio, you can prepare for roles such as:
- Agentic AI Engineer
- Generative AI Engineer
- AI Engineer
- LLM Application Developer
- AI Automation Engineer
- RAG Application Developer
- Python AI Developer
- AI Solutions Developer
Who Can Join This Course?
This program is suitable for:
- College Students and Freshers
- Python Developers
- Software Engineers
- Data Analysts and Data Scientists
- Machine Learning Enthusiasts
- Working Professionals
- Individuals looking to transition into AI careers
Prerequisites: Basic computer knowledge is helpful. Basic Python knowledge is recommended, but beginners can start with the programming fundamentals module.
Why Choose CNT Technologies?
- Industry-oriented curriculum
- Experienced technical trainers
- Practical, hands-on learning
- Real-world project development
- Live coding sessions
- Portfolio-building guidance
- Interview preparation
- Career guidance and placement assistance
Take the Next Step in Your AI Career!
The future belongs to intelligent AI systems that can do more than generate text. Learn how to build AI agents that reason, use tools, collaborate, and automate real-world tasks.
Join CNT Technologies and start your journey from Beginner to Job-Ready Agentic AI Developer.
