Agentic AI Course in Hyderabad
with
Master AI Agents, LLMs & Autonomous AI Systems with Hands-On Projects
- Live Training
- Real-Time Projects
- Internship
- Placement Assistance
Online | Classroom | 3 Months | Real-Time Projects | Internship Until You are Placed
Learn to build production-ready AI agents using LLMs, LangChain, LangGraph, RAG, tool calling and multi-agent workflows.
Why Choose Agentic AI Masters?
Build practical AI agent skills with real projects, expert training and career support.
Agentic AI Course in Hyderabad
Batch Details
| Trainer Name | Mr. Sandeep, Ms. Shaheda Tabassum, |
| Trainer Experience | 10+ Years |
| Next Batch Date | 20th January 2026 (01:00 PM IST) |
| Training Modes | Online and Offline Training |
| Course Duration | 3 Months (Offline & Online) |
| Call us at | +91 7995925858 |
| Email Us at | agenticaimasters@gmail.com |
| Demo Class Details | ENROLL FOR FREE DEMO SESSION |
Agentic AI Course in Hyderabad
Course Curriculum
- What is Agentic AI?
- AI vs Generative AI vs Agentic AI
- How AI agents work
- Agent components
- Real-world applications
- Python essentials
- APIs
- JSON
- Async programming
- Working with AI/ML libraries
- Multi-agent architecture
- Agent communication
- Role-based agents
- Collaboration
- Supervisor patterns
- Multi-agent workflows
- LLM fundamentals
- Tokens and context
- System/user prompts
- Structured outputs
- Function/tool calling
- Model selection
- Agent perception
- Reasoning
- Planning
- Memory
- Tool use
- Agent loops
- Agent workflows
- Embeddings
- Vector databases
- Retrieval
- RAG pipelines
- Short-term memory
- Long-term memory
- Knowledge-based agents
- LangChain
- LangGraph
- Agent workflows
- Tool integration
- State management
- Tool calling
- API integration
- Web/search tools
- Database tools
- Workflow automation
- External system integration
- AI safety
- Guardrails
- Prompt injection
- Data protection
- Agent evaluation
- Monitoring
- Agent deployment
- Cloud basics
- Production considerations
- Monitoring
- End-to-end projects
- Case studies
Why Choose Agentic AI Course in Hyderabad?
- Industry-Focused Curriculum
- Hands-On Project-Based Learning
- Expert-Led Training
- Online & Classroom Training
- Real-World Capstone Projects
- Internship Opportunities
- Placement & Career Support
- Resume & LinkedIn Support
- Lifetime Learning Access
- Flexible Weekday & Weekend Batches
Agentic AI Course in Hyderabad
Key Points
- ➤Industry-Focused Curriculum
Learn AI agents, LLMs, RAG, workflows and multi-agent systems.
- ➤Expert-Led Training
Learn through practical instruction from experienced trainers.
- ➤Hands-On AI Agent Projects
Build real-world AI agent applications and workflows.
- ➤Modern AI Tools & Frameworks
Work with relevant frameworks, APIs, RAG and agent development tools.
- ➤Internship & Placement Support
Get career guidance, resume support and interview preparation.
- ➤ Flexible Learning Options
Choose from available online/classroom schedules and fee options.
What is Agentic AI Masters?
Agentic AI Masters is an advanced program designed to equip professionals with expertise in autonomous AI agents, multi-agent systems, and reinforcement learning. It focuses on developing AI agents that can reason, plan, and execute tasks independently, leveraging technologies like LLMs (Large Language Models), LangChain, AutoGen, and CrewAI.
About Our Agentic AI Course
About Our Agentic AI Course
Agentic AI Masters offers practical training in Agentic AI, AI agents, and intelligent automation. The course introduces learners to how AI agents use large language models, tools, memory, and workflows to complete tasks and solve real-world problems.
Through hands-on learning, participants explore how to design, develop, and deploy AI agent applications. The course also covers RAG, multi-agent systems, and AI-powered automation to help learners build practical solutions for modern business needs.
What You'll Learn
- AI Agents & Autonomous Systems
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems
- Tools, APIs & Function Calling
How an AI Agent Works
LLM ↔ Tools
The AI agent uses a language model to understand requests and interact with external tools.
↓
Memory
Stores relevant information to maintain context and support better responses.
↓
Planning & Workflow
Breaks tasks into steps, selects actions, and manages the execution process.
↓
Result
Completes the task and delivers a useful response or action.
Agentic AI Training in Hyderabad
Learning Objectives
This course equips learners with expertise in autonomous AI agents, multi-agent systems, and reinforcement learning. Participants will develop AI-powered agents that can reason, plan, and execute tasks independently using frameworks like LangChain, AutoGen, CrewAI, and OpenAI API. They will master reinforcement learning (DQN, PPO), cloud automation, and AI-driven cybersecurity. The course emphasizes multi-agent collaboration, AI ethics, and real-world applications through hands-on projects. By the end, learners will be able to design, build, and deploy intelligent AI agents for automation, business intelligence, and cloud security, making them industry-ready for AI-driven roles.
- Understand Agentic AI Fundamentals
- Develop AI-Powered Autonomous Agents
- Master Reinforcement Learning Techniques
- Work with Advanced AI Frameworks
- Integrate AI Agents with Cloud & Security
- Enhance Problem-Solving with Multi-Agent Systems
- Develop Real-World AI Applications
- Understand AI Ethics & Safety
Agentic AI Course in Hyderabad
Course Overview
The Agentic AI Course in Hyderabad is designed to help learners understand, build, and deploy intelligent AI agents for real-world applications. The course covers LLMs, AI agent architecture, RAG, tool calling, memory, workflows, and multi-agent systems.
Through hands-on training and practical projects, learners work with modern AI frameworks and APIs to develop AI-powered applications. The program also introduces agent testing, deployment, guardrails, and responsible AI practices.
- Comprehensive Agentic AI Learning – Learn AI agent architecture, LLMs, RAG, workflows, tools, memory, and multi-agent systems.
- Hands-On AI Agent Development –Build practical AI agents using relevant frameworks, APIs, tools, and real-world workflows.
- Multi-Agent Systems – Understand how multiple specialized agents coordinate tasks and work together in structured workflows.
- RAG, Memory & Tool Integration– Connect AI agents with external knowledge, memory systems, APIs, and tools.
- Projects & Deployment– Apply your learning through practical projects and understand the process of testing and deploying AI agent applications.
Choose Your Agentic AI Learning Mode
Training Modes
Classroom Training
- Instructor-led classroom sessions
- Live project included
- Doubt clarification during sessions
- Access to available learning resources
- Career guidance and interview preparation
- Course completion certificate
Online Training
- Live online classes
- Interactive trainer sessions
- Live project-based learning
- Recorded sessions, if provided
- WhatsApp learning support
- Career guidance and interview preparation
Video Course
- Recorded video lessons
- Self-paced learning
- Access to course materials
- Practical assignments, if included
- Community or WhatsApp support, if provided
- Course completion certificate, if included
Agentic AI Course in Hyderabad
Pre-requisites
Learn the basics you need to start building AI agents.
Before joining the course
This course is designed for learners who want to understand and build AI agents. Basic programming knowledge is recommended, while familiarity with Python, machine learning, and APIs can help you learn faster. You do not need to master every advanced concept before starting.
Basic Programming Knowledge
Basic familiarity with programming concepts. Python knowledge is helpful for AI development and automation
AI & Machine Learning Basics
A general understanding of AI, machine learning, or data concepts is helpful, but advanced expertise is not required.
Logical & Analytical Thinking
Interest in solving problems, understanding workflows, and learning how AI systems make decisions.
Familiarity with APIs
Basic awareness of APIs and how software applications connect is useful for building AI integrations.
Willingness to Learn
Curiosity and a commitment to practice are important for learning AI agent development.
Basic Technical Comfort
Comfort using a computer, installing tools, and following technical instructions is recommended.
Meet Our Agentic AI Trainers
Learn from instructors focused on practical AI agent development.
INSTRUCTOR
Mr. Sandeep
AI Expert & Lead Instructor
Mr. Sandeep focuses on practical learning in Agentic AI, helping students understand how AI agents, LLMs, and automation workflows work together.
His teaching approach emphasizes hands-on development, project-based learning, and understanding how AI systems can use tools, manage tasks, and interact with other agents.
Key areas of instruction
LLM-based AI agents
Multi-agent systems
RAG and memory systems
AI workflow automation
Tool integration and API-based applications
Teaching approach: Practical concepts, guided implementation, and real-world project exercises.
INSTRUCTOR
Ms. Shaheda Tabassum
AI Expert & Lead Instructor
Why Learn AI Agent Development in Hyderabad?
Build practical skills for developing intelligent AI agents and automation workflows.
1.Understand Modern AI Agent Technologies
Learn how autonomous AI agents, LLMs, and multi-agent systems work together to solve complex tasks.
2. Develop Practical AI Skills
Build AI-powered applications using tools and frameworks such as LangChain, AutoGen, CrewAI, and OpenAI APIs.
3. Work on Real-World Projects
Apply your knowledge through hands-on projects involving AI automation, business workflows, and intelligent applications.
4. Prepare for AI-Focused Roles
Develop practical skills that can support career preparation for roles involving AI agents, automation, and LLM applications.
Build Practical Skills with Agentic AI
The Agentic AI Course in Hyderabad is a cutting-edge program designed to equip professionals with the skills to develop autonomous AI agents and multi-agent systems. This course covers key concepts in reinforcement learning, AI-driven automation, and cloud & security applications, providing hands-on experience with LangChain, AutoGen, CrewAI, and OpenAI APIs.
Agentic AI Training in Hyderabad
Where to used?
- Cloud Computing
Build AI-driven tools that monitor cloud resources, optimize workloads, and support infrastructure automation.
- Cybersecurity
Develop AI-assisted security workflows for threat analysis, alert investigation, and incident-response support.
- Business Process Automation
Use intelligent agents to automate repetitive tasks, connect business tools, and streamline workflows.
- Finance & Trading
Explore AI agents for financial data analysis, research automation, fraud-monitoring workflows, and decision support.
- Healthcare
Learn how AI-assisted workflows can support medical research, patient information management, and administrative tasks.
- Supply Chain & Logistics
Build intelligent workflows for inventory tracking, route planning, demand analysis, and operational coordination.
Companies That Hired From Agentic AI Masters
Agentic AI Course in Hyderabad
Our Accomplishment
Agentic AI Course in Hyderabad
Testimonials
Agentic AI Course in Hyderabad
Certification
Upon successful completion of the Agentic AI Course, participants will receive a Certification in Agentic AI. This certificate serves as a recognized validation of your expertise in autonomous AI agents, multi-agent systems, reinforcement learning, and AI-driven automation.
- Industry Recognition – The certificate demonstrates your mastery in advanced AI techniques that are in high demand across sectors like cloud computing, cybersecurity, business automation, and finance.
- Career Advancement – A valuable addition to your resume, increasing your chances of securing roles such as AI engineer, data scientist, cybersecurity specialist, and cloud automation expert.
Agentic AI Salaries In Hyderabad
In Hyderabad, professionals specializing in Agentic AI and related fields can expect competitive salaries. Here’s an overview:
Role | Average Salary (Fresher) | Average Salary (Senior-Level) |
AI Agent Developer | ₹4.5 LPA – ₹7 LPA | ₹12 LPA – ₹18 LPA |
AI System Architect | ₹6 LPA – ₹8 LPA | ₹15 LPA – ₹25 LPA |
AI Agent Training Specialist | ₹4 LPA – ₹6 LPA | ₹12 LPA – ₹18 LPA |
AI Research Scientist | ₹5 LPA – ₹7 LPA | ₹14 LPA – ₹20 LPA |
AI Automation Engineer | ₹4.5 LPA – ₹6.5 LPA | ₹12 LPA – ₹18 LPA |
AI Solution Architect | ₹6 LPA – ₹8 LPA | ₹15 LPA – ₹22 LPA |
Autonomous Systems Engineer | ₹5 LPA – ₹7 LPA | ₹13 LPA – ₹20 LPA |
AI Consultant | ₹5 LPA – ₹6.5 LPA | ₹14 LPA – ₹20 LPA |
AI Developer (Freelance) | ₹6 LPA – ₹8 LPA | ₹12 LPA – ₹18 LPA |
AI Integration Specialist | ₹5 LPA – ₹7 LPA | ₹12 LPA – ₹18 LPA |
Agentic AI Course in Hyderabad
Skills You Will Develop
- Autonomous AI Agent Development
- Reinforcement Learning Techniques
- Multi-Agent System Design
- AI-Powered Automation
- LLM Integration & Tool Calling
- Agent Memory & Context Management
- Agent Testing & Deployment
- Problem-Solving with AI
Agentic AI Career Opportunities in Hyderabad
Career Opportunities
Job Role | Description |
Agentic AI Developer | Design, develop, and integrate AI agents that use LLMs, tools, memory, and workflows to complete tasks. |
AI Solutions Architect | Plan and build AI-powered solutions that connect agentic systems with business applications and cloud platforms. |
Machine Learning Engineer | Develop and optimize machine learning models and supporting systems used in AI applications. |
AI Research Scientist | Research AI agents, reinforcement learning, reasoning, and other methods for improving intelligent systems. |
AI Research Scientist | Analyze data and apply Agentic AI methods to extract actionable insights and automate tasks. |
AI Automation Engineer | Build intelligent workflows that automate repetitive tasks and connect AI agents with business tools. |
Cloud AI Engineer | Deploy and manage AI applications using cloud infrastructure, APIs, and scalable services. |
AI Trainer/Instructor | Teach and mentor aspiring AI professionals in Agentic AI concepts and real-time projects. |
AI Agent Tester | Test and validate the performance of AI agents to ensure optimal decision-making and adaptability. |
Business Process Automation Engineer | Use Agentic AI to automate and optimize business processes, improving efficiency and reducing costs. |
Agentic AI Course in Hyderabad
Tools Covered
LangChain
Build AI agent workflows by connecting language models with tools, memory, and external data.
AutoGen
Learn to create conversational and multi-agent systems that collaborate to complete tasks.
CrewAI
Build role-based AI agent teams that coordinate tasks and automate business workflows.
OpenAI API
Integrate language models into applications that support conversations, reasoning, and tool-based tasks.
TensorFlow & PyTorch
Explore deep learning frameworks used to develop and train neural-network-based AI systems.
Reinforcement Learning Libraries
Work with libraries such as Stable-Baselines3 and RLlib to explore reinforcement learning concepts and agent training.
Agentic AI Training in Hyderabad
Market trends
1. AI Automation and Intelligent Workflows
AI agents are being explored for automating repetitive tasks, coordinating workflows, and supporting business operations. Learners can study how agents use tools, APIs, and decision-making logic to complete tasks.
2. AI in Cloud Computing
AI agents can support cloud operations, monitoring, resource management, and automation workflows. Training can help learners understand how to connect AI systems with cloud services and operational tools.
3. AI in Cybersecurity
AI agents are being investigated for security monitoring, threat analysis, and response assistance. Learners can explore how agent workflows support cybersecurity tasks while keeping human oversight in important decisions.
4. Multi-Agent Collaboration
Multi-agent systems allow specialized agents to coordinate different tasks. This creates opportunities to learn about task delegation, communication, orchestration, and workflow management.
Agentic AI Course in Hyderabad
FAQ'S
Agentic AI refers to AI systems designed to plan tasks, make decisions, use tools, and complete multi-step workflows. Unlike a basic question-answering system, an AI agent can combine reasoning, memory, and external tools to work toward a defined goal, with human oversight when needed.
- Agentic AI can help automate complex workflows, connect different tools, and support tasks that require multiple steps. Learning how these systems work can help students understand modern AI application development and business automation.
The course may cover AI agents, large language models, prompt engineering, RAG, tool calling, memory systems, multi-agent architectures, agent frameworks, deployment, testing, and practical projects. The exact syllabus depends on the training program.
Beginners can start by learning the fundamentals of Python, AI, and machine learning. Basic programming knowledge can be helpful, but the required background depends on the course level and syllabus.
You can develop skills in AI agent development, LLM integration, RAG, tool calling, workflow design, multi-agent systems, API integration, and testing AI applications through practical exercises.
Course duration depends on the training schedule, syllabus, and learning format. Contact our team for the current batch duration and class timings.
Basic Python programming, familiarity with APIs, and an understanding of fundamental AI or machine learning concepts may be helpful. Beginners should check the course requirements before enrolling.
Depending on your skills and experience, you may explore roles such as AI Agent Developer, AI Solutions Architect, Machine Learning Engineer, AI Consultant, or AI Automation Engineer. Career outcomes depend on individual qualifications, projects, and hiring requirements.
Practical projects may include AI customer support agents, RAG knowledge assistants, research agents, and multi-agent workflows. These projects help learners understand how AI agents are designed and integrated into real-world applications.
The tools covered depend on the current syllabus. Common technologies used in agent development include LangChain, AutoGen, CrewAI, LLM APIs, vector databases, and Python-based development tools.
No, Agentic AI goes beyond traditional AI by making autonomous decisions, adapting to feedback, and solving complex problems without needing a fixed script.
While Generative AI focuses on creating new content (like text or images), Agentic AI focuses on autonomous decision-making and task management in dynamic environments.
Some popular tools include OpenAI, LangChain, TensorFlow, PyTorch, and Google Cloud AI, which are used for developing AI agents and autonomous systems.
Python is the primary language used in Agentic AI. Knowing libraries like TensorFlow, PyTorch, and Scikit-learn will also help you in machine learning tasks.
Yes, Agentic AI can be applied across various industries like healthcare, finance, IT, marketing, and manufacturing to automate tasks, improve decision-making, and enhance efficiency.
AI agents are systems that can make decisions, take actions, and adapt to their environment. In Agentic AI, these agents are autonomous and can work without constant human supervision.
Agentic AI helps businesses by automating processes, improving customer service, optimizing resource management, and driving innovation through autonomous decision-making systems.
After completing the Agentic AI course in Hyderabad, you’ll receive an official certification that proves your expertise in AI agents and autonomous system development.
The Agentic AI Masters program offers advanced, in-depth training on autonomous systems, AI agents, and machine learning, with hands-on projects and direct mentorship from industry experts.
Yes, Agentic AI online training is available with flexible timings and recorded sessions. You can join the course remotely and gain the same quality of education as the offline program.
Yes, the Agentic AI course includes real-time projects, where you will work on live tasks related to AI agents, autonomous systems, and machine learning applications.
You will work on projects like AI chatbot development, building autonomous agents, data-driven decision-making systems, and creating solutions for dynamic environments using Agentic AI.
We provide full placement assistance, including resume building, mock interviews, and job referrals to companies hiring Agentic AI professionals.
Yes, Agentic AI training starts with the fundamentals, so beginners can gradually learn and advance to complex topics like AI agents and autonomous systems.
You can apply for the Agentic AI course in Hyderabad through our website. Simply click the “Enroll” button to get started and join the next available batch.
Yes, we offer customized Agentic AI training for corporate teams, helping businesses adopt AI agents and autonomous systems for process automation and innovation.
The Agentic AI course fee in Hyderabad typically ranges from ₹15,000 to ₹20,000, depending on the batch (online or offline) and additional support services.
We provide comprehensive study material, mock tests, and guidance from experts to help you prepare effectively for your Agentic AI certification exam.
After completing the Agentic AI course, you can apply for roles such as AI agent developer, AI project manager, autonomous systems engineer, and AI consultant.
Hyderabad’s growing IT and startup ecosystem, combined with its focus on AI and machine learning technologies, makes it an ideal place for Agentic AI professionals to thrive.
