Agentic Ai Course in Hyderabad
Start your journey with the best Agentic AI Course in Hyderabad. Designed for freshers and beginners, learn AI agents using OpenAI, LangChain, and TensorFlow with real-time projects, mentorship, and internship support in Hyderabad.
- Build Real AI Agents from Scratch
- Hands-On Training with Live Use Cases
- Job-Oriented AI Skills Training
Upcoming Batches & Course Schedule for Agentic AI Training
| Trainer Name | Dinesh,Sandeep sir |
| Trainer Experience | 10+ Years |
| Next Batch Date | 6th April 2026 (10:00 AM IST Offline) 6th April 2026 (10:00 AM Online) |
| Training Modes | Classroom Training (Hyderabad), Online Training |
| Course Duration | 3 Months |
| Call us at | +91 9885044555 |
| Email Us at | genaimasters@gmail.com |
| Demo Class Details | Click Here to Chat on Whatsapp |
Agentic AI Course Curriculum & for Beginners in Hyderabad
Module 1: Foundations of Agentic AI Systems
Understand how AI agents are different from normal AI tools and how they operate in real environments.
- Agent architecture (input → reasoning → action → output)
- Autonomous decision-making concepts
- Real-world AI agent workflows
Module 2: Designing AI Agent Workflows
Learn how to structure and design intelligent systems that can handle tasks step-by-step.
- Task decomposition (breaking problems into steps)
- Planning and execution logic
- Designing goal-based AI agents
Module 3: Multi-Agent Systems
Build systems where multiple AI agents work together.
- Agent-to-agent communication
- Task distribution between agents
- Coordinated problem solving
Example
- One agent researches, another summarizes, another sends output
Module 4: Memory & Context Handling in AI Agents
Teach AI agents to remember and use past information.
- Short-term vs long-term memory
- Context-aware decision making
- Improving response continuity
Module 5: Tool Usage & Action Execution
Enable AI agents to interact with external tools and systems.
- Calling APIs and external tools
- Automating real-world actions
- Building action-based AI systems
Module 6: Autonomous AI Workflows (End-to-End Systems)
Create fully functional AI systems that run with minimal human input.
- End-to-end automation pipelines
- Decision loops and self-improvement
- Handling complex multi-step tasks
Module 7: Error Handling & AI Agent Reliability
Make AI systems stable and usable in real scenarios.
- Handling failures in workflows
- Improving accuracy and consistency
- Debugging agent behavior
Module 8: Real-World Agentic AI Use Cases
Apply advanced concepts in practical scenarios.
- Business process automation agents
- AI research and reporting systems
- Customer interaction AI systems
Module 9: Scaling AI Agents for Real Applications
Understand how AI systems are used at scale.
- Performance optimization
- Handling multiple users/tasks
- Deploying usable AI solutions
Module 10: Portfolio-Ready Agentic AI Systems
Turn your learning into real assets.
- Build complete AI agent systems
- Showcase real-world use cases
- Prepare for job or freelance opportunities
What is Agentic AI?
- Agentic AI refers to intelligent systems that don’t just respond to instructions—but think, plan, and take actions independently to complete tasks.
- Unlike traditional AI tools that wait for commands, Agentic AI uses decision-making logic to solve problems step-by-step using technologies like OpenAI and LangChain.