Agentic AI Course In Hyderabad
Agentic AI Course in Hyderabad empowers industries with autonomous, intelligent systems. With strong IT growth, training, and career opportunities, it drives innovation across healthcare, finance, e-commerce, and smart cities.
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Learn online or in-person, whatever suits you best.
Live Webinar
Join live sessions with experts and learn new AI skills.
Certification
Get a certificate to show your AI skills and boost your career.
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100+ Companies hired VR Agentic AI Trainings Learners
Over 100 top companies have hired learners from VR Agentic AI Trainings, recognizing their strong skills and expertise in AI. Join us to kickstart your career with leading organizations
Agentic AI Course Key Highlights
- Hands on Learning with Real Projects Practical implementation of agent based systems, multi agent collaboration, and autonomous workflows.
- Cutting edge Tools and Frameworks Training on LangChain and CrewAI and AutoGen and OpenAI APIsand Hugging Face Agents, and enterprise-grade orchestration tools.
- Industry relevant Use Cases Building AI agents for customer support, data analysis, workflow automation, personalized learning, and business intelligence.
- Job oriented Curriculum Focus on skills demanded in AI roles: Prompt Engineering, Agent Design, API Integration, and Deployment.
- Guided by Industry Experts Trainers with real-time experience in implementing agentic AI solutions across multiple industries.
- Placement & Career Support Resume building and mock interviews and connections with companies hiring AI developers and automation specialists.
- Continuous Updates Curriculum position with the latest advancements in Generative AI and autonomous agents.
- Capstone Project & Certification End-to-end project showcasing the design and deployment of an AI agent, with a recognized certificate to boost employability.
- Integration with Business Ecosystems Training on connecting agents with CRMs, ERPs, databases, and cloud platforms to solve real business problems.
- Future Proof Career Skills Gain expertise in next gen AI architectures like multi agent systems, swarm intelligence, and AI governance models
Training Modes
Classroom Training
- Face-to-Face learning
- Fully equipped labs
- Real Time Projects
- One - One Mentoring
- Interactive sessions
- Resume Preparation
- Mock interviews
- 100% Job Assistance
Online Training
- Live Online Classes
- Industry Trainers
- Life Time Recorded Access
- Capstone Projects
- Mock Interviews
- Resume Preparation
- Group discussions
- 100% Placement Assistance
Corporate Training
- Face-to-face learning
- Fully equipped labs
- Hands-on practice
- Instant doubt solving
- Interactive sessions
- Peer learning
- Mock interviews
- 100% Job guidance
Weekend Training
- Weekend-only classes
- Industry trainers
- Real-world examples
- Focused sessions
- Career support
- Recorded lectures
- Group discussions
- Resume preparation
VR Generative AI -Instructors
About the Instructor:
Name : Ms. Punyakeerthi
Expert & Lead Instructor – Generative AI
8+ Years of Experience in Software Development
About the Trainer: Mr. Dhanush
Role: Senior Data Scientist & Weekdays Trainer – Generative AI, Data Science, and Machine Learning
Experience & Expertise
Experience & Expertise- 4+ years of industry experience in the IT sector, specializing in Data Science, Machine Learning (ML), and Artificial Intelligence (AI).
- 1+ years of expertise in training and mentoring professionals in Data Science and AI across corporate and academic environments.
Trainer Name : MR. Trilok
At VR Agentic AI, our mission is to prepare you for the future of intelligent systems by equipping you with the skills to design, build, and deploy autonomous AI agents. Our training programs are crafted to help you go beyond prompts—enabling you to create goal-driven, reasoning, and decision-making AI solutions.
Our expert instructors, with hands-on industry experience, bring real-world use cases into every session. With them, you’ll gain more than just theoretical knowledge you’ll master the art of building AI agents that can plan and collaborate and act independently across business and technical domains.
We are committed to your success by offering personalized mentorship and project based learning, and end-to-end placement support. Whether you prefer online or in person learning, our modern training environment make sure an interactive and immersive experience with the latest AI tools and frameworks.
At VR Agentic AI Training, we don’t just train you we empower you to become a future ready AI professional capable of shaping tomorrow’s autonomous systems.
1. Autonomy & Proactive Actions
- Unlike traditional AI, Agentic AI doesn’t just respond to prompts — it plans, decides, and acts on its own.
- Saves time by automating repetitive and complex tasks without constant human intervention.
2. Higher Productivity
- Handles end-to-end workflows (research, planning, execution, reporting).
- Frees up human effort for strategic and creative work.
3. Scalability & Efficiency
- Can manage multiple tasks or agents working in parallel.
- Increases efficiency in industries like finance, healthcare, e-commerce, and enterprise automation.
4. Better Decision-Making
- Uses reasoning and planning to choose the best actions.
- Reduces human errors by analyzing large datasets and predicting outcomes.
5. Seamless Integration
- Connects with APIs, tools, and databases for smooth workflow automation.
- Works across multiple platforms to deliver faster results.
6. Personalization & Adaptability
- Learns from data and user interactions to offer tailored solutions.
- Adapts dynamically to changing environments and requirements.
7. Cost & Time Savings
- Automates manual processes, reducing operational costs.
- Speeds up execution compared to traditional AI or human-only efforts.
8. Future-Readiness
- Prepares businesses and professionals for the next era of AI-driven innovation.
- Opens up new career opportunities in AI development, automation, and intelligent systems.
1. Foundational Knowledge
Mathematics & Statistics → Linear algebra, probability, optimization.
Computer Science Basics → Algorithms, data structures, operating systems.
Artificial Intelligence Fundamentals → Understanding traditional AI, supervised/unsupervised learning, reinforcement learning.
2. Programming & Tools
Programming Languages → Python is a must (libraries like PyTorch, TensorFlow, LangChain, Hugging Face).
Agent Frameworks → LangChain, AutoGen, Haystack, CrewAI, etc.
Knowledge of APIs & Integrations → To connect AI agents with external tools, databases, and applications.
3. Machine Learning & Deep Learning
Building, training, and fine-tuning models.
Understanding neural networks, transformers, and LLMs (Large Language Models).
Familiarity with model deployment (cloud, edge, APIs).
4. Cognitive & Planning Concepts
Knowledge of reasoning, planning, and decision-making algorithms.
Basics of multi-agent systems and how agents collaborate.
Awareness of Reinforcement Learning with Human Feedback (RLHF).
5. Data Handling
Data preprocessing and cleaning.
Working with structured & unstructured data.
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
6. Domain & Applied Knowledge
Understanding real-world workflows (finance, healthcare, e-commerce, automation).
Ability to map business problems → AI agent solutions.
7. Soft Skills
Problem-Solving Mindset → Breaking down tasks into agent-executable steps.
Prompt Engineering Skills → Crafting precise prompts for effective outputs.
Collaboration Skills → Working with cross-functional teams.
Agentic AI Course Curriculum
Module 1: Introduction to AI & Agentic AI
- What is AI? Traditional AI vs Generative AI
- vs Agentic AI
- Evolution of AI systems (Reactive → Generative → Agentic)
- Real-world applications of Agentic AI
- Why Agentic AI is the future of automation
Module 2: Foundations of AI & LLMs
- Basics of Machine Learning & Deep Learning
- Introduction to Large Language Models (LLMs)
- Prompt engineering fundamentals
- Understanding embeddings, vector databases & RAG (Retrieval Augmented Generation)
Module 3: Agentic AI Concepts
- What makes AI “agentic”? (Perception, Reasoning, Planning, Acting)
- Agents vs. Tools vs. Workflows
- ReAct (Reason + Act) framework
- Multi-agent systems: collaboration and orchestration
Module 4: Tools & Frameworks for Agentic AI
- LangChain Agents – task execution & tool integration
- LlamaIndex (GPT Index) – knowledge augmentation for agents
- OpenAI Function Calling – structured reasoning & API integration
- AutoGPT & BabyAGI – autonomous AI projects
- CrewAI / Microsoft AutoGen – multi-agent collaboration frameworks
- LangGraph – building stateful workflows
Module 5: Building AI Agents
- Designing task-driven agents
- Connecting agents with APIs & external tools
- Memory in agents (short-term vs long-term)
- Error handling, monitoring, and control loops
- Hands-on: Building a personal task automation agent
Module 6: Advanced Agentic AI
- Multi-agent collaboration (agents working as a team)
- Agents in business: finance, healthcare, e-commerce, customer service
- Scaling agents for enterprise use
- Integrating with databases, CRMs, and cloud services
- Hands-on: Building a multi-agent project
Module 7: Ethics, Safety & Future of Agentic AI
- Risks & limitations of autonomous AI
- Bias, safety, and ethical considerations
- Human-in-the-loop design
- The future of Agentic AI: AI copilots, autonomous businesses, digital workforce
Module 8: Capstone Project & Certification
- Final project: Build an Agentic AI system (choose domain: business, education, healthcare, finance, or productivity)
- Presentation & evaluation
- Certification of Completion
Module 9: INTERVIEW PREPARATION
• Resume building for AI careers
• Common ML/DL/NLP interview questions
• Mock interviews & feedback
• Communication & GD preparation
• GitHub portfolio building
• Real-world case studies
Module 10: TOOLS & LIBRARIES
• Git, GitHub
• Jupyter Notebook, Google Colab
• TensorFlow, Keras, PyTorch
• Scikit-learn, OpenCV, Hugging Face
• LangChain, Streamlit
• APIs: OpenAI, StabilityAI
• Model Deployment Basics
• Docker & Cloud Introduction
Module 11: PLACEMENT ASSISTANCE
- Career guidance & mentorship
- Job market analysis for AI roles
- Support in applying for jobs
- Weekly job updates
- LinkedIn optimization
- One-on-one mentoring sessions
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Agentic AI Explained: What It Is and How It Works
What is Agentic AI?
The Agentic AI is the next generation of artificial intelligence systems designed to act as autonomous agents that can perceive and reason and plan and execute tasks without constant human input. Unlike traditional AI and which mainly reacts to user prompts, Agentic AI proactively takes action to achieve specific goals.
In simple terms, instead of just answering questions, Agentic AI can:
- Decide what needs to be done
- Break tasks into steps
- Collaborate with tools or APIs or other agents
- Learn and adapt from outcomes
How Does Agentic AI Work?
Agentic AI works by combining multiple components that allow it to function more like a decision-maker than a simple assistant:
Perception & Input Handling
The agent receives information from users, systems, or the environment.
Reasoning and Goal Setting
It assuming the data, defines objectives, and determines what needs to be done.
Planning & Task Decomposition
The agent breaks down complex goals into smaller and manageable steps.
Action & Execution
It interacts with APIs, tools, or external systems to complete the tasks.
Feedback and conversion
Based on results, the agent clarify its approach and improves over time.
Real-World Applications of Agentic AI
- Business Automation – AI agents managing workflows and documents and customer queries.
- Healthcare – Virtual assistants monitoring patient health and suggesting care.
- Finance – Agents analyzing markets and forecasting risks and and making recommendations.
- Education – Personalized tutors adapting to a student’s learning style.
Research & Development – Multi-agent systems solving complex scientific problems.
What Our Learners Say About Agentic AI Course
Agentic AI Course Certification
About the Certificate
- The VR Agentic AI Certification is a recognized validation of skills in the emerging field of autonomous AI systems.
- It certifies that you are trained in Agentic AI frameworks like LangChain, AutoGen, CrewAI, and OpenAI APIs.
- The certificate is issued only after successful completion of training, capstone project, and assessment, ensuring credibility.
- It enhances your professional profile and serves as proof of your job-ready expertise in one of the most in-demand AI domains.
- You can showcase the certification on your resume, LinkedIn, and job applications, giving you a strong advantage in the AI job market.
Agentic AI isn’t something reserved only for AI experts. In fact, it’s becoming useful for anyone who wants to secure their future in tech or bring smart automation into their work.
Students and Freshers
If you’re studying computer science, data science, AI/ML, or IT, this is a chance to stand out. Fresh graduates often struggle to differentiate themselves, but knowing how to build autonomous systems can give you a real edge when stepping into the job market.
Working Professionals
For developers and software engineers, Agentic AI is the natural “next step” after traditional coding. Data scientists and analysts who’ve been working with models will find it refreshing to move into AI systems that don’t just predict—but can reason and act. Even automation and RPA specialists can take their workflows to another level by adding intelligence instead of relying only on rules.
Academics and Researchers
Researchers exploring planning, reasoning, or multi-agent systems will find Agentic AI a rich area of study. Teachers and professors can also refresh their curriculum, making sure students are exposed to what’s actually shaping industries right now not what was popular a decade ago.
Entrepreneurs and Innovators
Startup founders are already experimenting with AI-powered tools. Learning Agentic AI means you don’t just use those tools—you can create your own. Whether it’s improving healthcare processes, building smarter finance apps, or solving real problems in education or e-commerce, the opportunities are massive.
Career Changers and Enthusiasts
And if you’re not from a tech background? That’s okay. Many professionals are already shifting into AI-driven roles. Even if you’re simply curious about the future of intelligent systems, learning Agentic AI is a great way to understand where technology is headed
Technical Skills
- Agent Design & Development – Build autonomous, goal-driven AI agents
- Prompt Engineering & Reasoning – Craft effective prompts for intelligent outcomes
- Multi-Agent Systems – Design agents that collaborate and coordinate tasks
- Workflow Automation – Implement end-to-end automation using AI agents
- API & Tool Integration – Connect agents with databases, CRMs, and cloud platforms
- Programming Expertise – Hands-on with Python, LangChain, AutoGen, CrewAI, Hugging Face Agents, and OpenAI APIs
Applied AI Skills
- Task Decomposition & Planning – Train agents to break down and execute complex goals
- Domain-Specific Solutions – Build AI agents for finance, healthcare, education, and business
- Data-Driven Decision Making – Equip agents to analyze, predict, and act on insights
- Deployment & Scalability – Deploy agents in enterprise and cloud environments
Professional & Career Skills
- Problem-Solving Mindset – Apply AI solutions to real-world industry challenges
- Collaboration – Design systems where humans and AI agents work together
- Portfolio Building – Showcase capstone projects to employers and clients
- Career Readiness – Gain skills aligned with AI-driven job roles and industry demand
Explosive Growth of AI Market
- The global AI market is projected to surpass $1.3 trillion by 2032 (CAGR ~20%+).
- Within this, Agentic AI is emerging as a key growth driver, moving beyond chatbots to autonomous, decision-making systems.
Rising Demand for Agentic AI Skills
- Companies are shifting from prompt-based AI to agentic AI for workflow automation, business intelligence, and decision-making.
- Job postings mentioning LangChain, AutoGen, CrewAI, and multi-agent systems have seen huge year-on-year growth.
- Roles like AI Engineer, Automation Specialist, and Agent Developer are projected to grow rapidly over the next 5 years.
Industry Adoption
- Finance → Autonomous agents for portfolio management & fraud detection
- Healthcare → AI health assistants and research automation
- E-commerce → Personalized shopping agents and supply chain optimization
- Education → Adaptive learning tutors powered by agentic frameworks
- Enterprise → End-to-end workflow automation and decision support agents
Future Outlook
- By 2028, most enterprises are expected to deploy AI agents that act independently, not just assist humans.
- Agentic AI is seen as the backbone of next-gen AI applications, creating massive career opportunities.
Technical Roles
- AI Engineer (Agentic Systems) – Design and deploy autonomous agents for businesses.
- Machine Learning Developer – Build and optimize AI models integrated with agent frameworks.
- Automation Specialist – Use Agentic AI for workflow and process automation.
- Multi-Agent Systems Developer – Create AI agents that collaborate to solve complex tasks.
- AI Researcher – Explore new architectures in autonomous systems and swarm intelligence.
Business & Applied Roles
- AI Product Manager – Manage and design AI-powered agent products.
- Business Intelligence Analyst – Use agentic tools to automate decision-making.
- AI Consultant – Help organizations adopt and implement agent-based AI.
- Data Analyst (AI-driven) – Automate data processing and reporting using intelligent agents.
- Entrepreneur and Startup Founder – Build innovative products powered by autonomous AI.
Industries Hiring Agentic AI Professionals
- Finance → Fraud detection and robo-advisors and portfolio automation
- Healthcare → Virtual health assistants and diagnostics and patient monitoring
- E-commerce → Personalized shopping and supply chain automation
- Education → AI tutors, personalized learning paths
- IT & Enterprise → Workflow automation, intelligent assistants
Salary Bands
Ranges shown in Indian Rupees (INR) and approximate global (USD) equivalents.
| Level | India (INR) | Global (USD, approx.) |
|---|---|---|
| Freshers | ₹6 LPA – ₹10 LPA | ≈ $70K+ |
| Mid-Level Professionals | ₹12 LPA – ₹25 LPA | ≈ $120K |
| Senior Experts / Specialists | ₹30 LPA+ | ≈ $180K+ |
Notes: “LPA” = Lakhs Per Annum. USD values are approximate and may vary by location, taxes, and benefits.
Read Also: Artificial Intelligence Salary in India for Freshers 2025
| Aspect | VR Trainings | Other Institutes |
|---|---|---|
| Learning Approach | Focus on practical, job-oriented training with real projects | Mostly theory-based teaching with limited real exposure |
| Trainers | Industry experts and working professionals with real time experience | General trainers with limited industry background |
| Curriculum | Continuously updated with latest technologies are like Generative AI, LLMs, and Prompt Engineering | Often outdated and generic syllabus not aligned with current market needs |
| Placement Support | End-to-end placement assistance with mock interviews, resume building, and direct company connections | Minimal or no dedicated placement support |
| Projects & Case Studies | Live industry projects that build strong portfolios | Small or theoretical assignments with no practical impact |
| Flexibility | Online + Offline + Weekend/Weekday batches for all learners | Limited schedules, less flexibility for working professionals |
| Support After Training | Lifetime access to materials, alumni network, and career guidance | No or time-limited access after course completion |
| Focus | Dedicated to career transformation and student success | Focused mainly on course completion and certification |
| Value | High-quality training + career growth = Best Return on Investment | Training without guaranteed career results = Lower ROI |
Introduction
At VR Trainings, we believe in transforming learners into industry-ready AI professionals. Our Generative AI Placement Program is designed to provide not just technical knowledge, but also the practical exposure and career support needed to land high-paying jobs in AI, Data Science, and Emerging Tech.
Unlike conventional institutes, VR Trainings focuses on career transformation with hands-on learning, real projects, and dedicated placement support.
Program Objectives
- To train learners in cutting-edge Generative AI technologies.
- To provide real-world project experience aligned with industry needs.
- To guide students towards successful placements in top companies.
- To build confidence, communication, and interview skills for career success.
Program Structure & Implementation
Phase 1: Foundation
- Python for AI & Data Science
- Machine Learning Basics Neural Networks & Deep Learning Fundamentals
- Python for AI & Data Science
Phase 2: Core AI Concepts
- Advanced Deep Learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP) ,Large Language Models (LLMs) – GPT, LLaMA, Falcon
- Advanced Deep Learning (CNNs, RNNs, Transformers)
Phase 3: Generative AI Specialization
- Generative Adversarial Networks (GANs)
- Diffusion Models for Images & Videos
- Prompt Engineering & Fine-tuning AI Models ,AI Tools for Content, Code, and Design
- Generative Adversarial Networks (GANs)
Phase 4: Industry Applications
- AI in Healthcare, Finance, Marketing, and Education
- Building Chatbots, AI Assistants, and Creative Tools , Ethical AI & Responsible Development
- AI in Healthcare, Finance, Marketing, and Education
Phase 5: Career Readiness & Placement
- Resume & LinkedIn Optimization
- Mock Interviews (Technical + HR)
- Career Guidance from Industry Expert
Direct Placement Drives with Partner Companies
AI Tools Covered
- ChatGPT / GPT-4 / GPT-5 – for natural language processing, text generation, and automation.
- Claude (Anthropic) – AI assistant for reasoning and safer conversations.
- Google Gemini (formerly Bard) – for generative AI and multimodal applications.
- MidJourney / Stable Diffusion – for AI-based image generation.
- Runway ML – for video, design, and creative AI applications.
- LangChain – for building AI applications with LLMs.
- Pinecone / Weaviate / FAISS – vector databases for retrieval-augmented generation (RAG).
- Hugging Face Transformers – open-source AI models for NLP, vision, and speech.
- TensorFlow / PyTorch – deep learning frameworks.
- AutoML (Google / Azure / AWS) – automated model building and deployment.
Agentic AI Tools Covered
- LangChain Agents – enables AI to act autonomously by connecting with tools, APIs, and databases.
- AutoGPT – an open-source agentic AI that can perform tasks with minimal human input.
- BabyAGI – lightweight task-driven autonomous AI agent.
- CrewAI – framework for managing multiple collaborative AI agents.
- OpenAI Function Calling – lets models execute structured actions via APIs.
- LlamaIndex (GPT Index) – tool for building data agents with structured knowledge.
- Microsoft AutoGen – multi-agent conversation framework for AI collaboration.
- ReAct Framework (Reason + Act) – combines reasoning with action for agentic AI tasks.
- HuggingGPT – uses GPT models to control and delegate tasks to other AI models.
LangGraph – for building stateful, agentic workflows with AI
Frequently Asked Questions
What exactly is Agentic AI?
Think of it as AI with initiative. Traditional systems wait for you to give commands. Agentic AI, on the other hand, can plan, reason, and carry out tasks on its own. It’s not just answering—it’s doing.
Why should I bother learning it?
Because it’s the direction AI is heading. Already, banks are testing autonomous agents for fraud detection, hospitals are trying AI assistants for research, and e-commerce platforms are building smart shopping bots. If you learn it now, you’ll be ahead of the curve.
Who’s this training for?
It’s pretty flexible. College students, fresh graduates, working developers, data scientists, automation folks, researchers, entrepreneurs—even people from non-tech fields who want to switch into AI. If you’re curious and willing to learn, you’ll fit right in.
And the career side of it?
That’s the fun part. Roles like AI Engineer, Agent Developer, Automation Specialist, AI Consultant, and even Product Manager are opening up fast. Salaries are competitive, and the demand curve is pointing straight up.
Do I need to be an expert before joining?
Not at all. We start with the basics—Generative AI, the “why” behind Agentic AI—then move step by step to advanced concepts. Knowing Python helps, but if you don’t, we’ll guide you.
Will I get a certificate?
Yes, once you complete the program and final project. It’s called the VR Agentic AI Certification, and it’s designed to add real credibility to your résumé.
What kind of projects are included?
Real-world ones. Think AI chat assistants, automated workflows, systems where multiple agents collaborate, or solutions tailored for finance, healthcare, or education. Stuff you can actually show to employers.
What about placements?
We don’t just train—you’ll also get help with resumes, mock interviews, and direct placement support with AI-focused companies.
Is this online or offline?
Both. If you prefer learning from home, the online sessions are interactive and tool-rich. If you like in-person learning, we’ve got that covered too.
