Agentic AI & Gen AI

Build production-ready AI systems with practical training in AI engineering, LLM applications, RAG, AI agents, APIs, cloud deployment, DevOps, and real-world AI delivery.

Course Overview

This Agentic AI training program is built to help you learn how to create, test, and launch smart AI agents using Large Language Models (LLMs). You will learn the exact skills needed to build agents that solve real problems in real work environments. The program is practical, easy to follow, and designed for beginners and working professionals alike.

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Skills You Will Learn

Course Curriculum

Module 1 — Foundations of Agentic AI

What is Agentic AI
LLM fundamentals

Agent architectures
Setting up development environment

Module 2 — Generative AI for Developers

Prompt engineering
OpenAI API deep dive

LangChain framework
Building GenAI applications

Module 3 — RAG & Knowledge Systems

Retrieval-Augmented Generation
Vector databases

Document processing pipelines
Agentic RAG implementation

Module 4 — Multi-Agent Systems

Multi-agent architectures
Agent communication protocols

CrewAI & AutoGen frameworks
Orchestrating agent workflows

Module 5 — No/Low Code AI Agents

Building agents with n8n
No-code workflow automation

AI observability & ops
Agentic AI testing strategies

Module 6 — Production & Career Prep

Deploying AI agents
Real-world industry projects

Portfolio building
Interview preparation

Tools & Technologies Covered

Who Should Join

Career Opportunities

Industries Hiring Agentic AI Professionals

Agentic AI isn’t limited to tech companies. Here’s where demand is strongest.

IT & Software Services

Companies deploy AI agents for automated code reviews, intelligent testing, customer support bots, and internal knowledge retrieval — reducing manual effort by up to 60%.

Banking & Finance

AI agents power fraud detection in real-time, automate loan underwriting, build intelligent trading assistants, and handle compliance document analysis at scale.

Healthcare

From AI-driven diagnostic assistants to automated patient triage and drug interaction checkers, agentic systems are transforming how hospitals and clinics operate.

E-commerce & Retail

AI agents manage dynamic pricing, personalize product recommendations, automate inventory replenishment, and run intelligent customer support — 24/7 without human intervention.

Cybersecurity

Autonomous agents monitor network traffic, detect anomalies, respond to threats in real-time, and orchestrate multi-step incident response workflows faster than human teams.

Product & Enterprise Software

SaaS companies embed agentic AI into their platforms for smart onboarding, automated workflows, intelligent search, and proactive user assistance — creating stickier products.

What Our Students Say

Real feedback from graduates of the Agentic AI program.

The trainers broke down complex topics like RAG, LangChain, and AI agents into something I could actually understand. What made the difference was the live projects — I wasn't just watching, I was building. If you're serious about an AI career, this is the place.

Ramesh Naidu

⭐⭐⭐⭐⭐

I came in wanting to learn Gen AI with real projects, not just theory slides. That's exactly what I got. I built chatbots, RAG pipelines, and multi-agent systems from scratch. The trainers genuinely care about each student's progress.

Divya Chukani

⭐⭐⭐⭐⭐

I joined to upgrade my skills, and the course delivered. The mix of live sessions, recordings, case studies, and hands-on projects kept things practical. I finally understand how companies are using OpenAI APIs and automation workflows in production.

Ramesh Adimulam

⭐⭐⭐⭐⭐

Great learning environment — the faculty is approachable and the projects are based on real industry use cases. I gained practical knowledge in AI automation and agentic systems that I'm already applying at work.

Ramya Reddy

⭐⭐⭐⭐⭐

As someone attending online, I was skeptical about the experience. But the classes were well-organized, the trainers explained things clearly with real examples, and the support was excellent. Works great for beginners and professionals alike.

David Jacobs

⭐⭐⭐⭐⭐

Frequently Asked Questions

Everything you need to know before enrolling.

How long is the Agentic AI course, and what's the time commitment?

The program runs 2–4 months (120–240 hours) with flexible batch timings. We offer weekday and weekend options, plus 1:1 sessions for working professionals who need scheduling flexibility.

Can I join if I have zero coding experience?

Yes. Basic Python awareness helps, but it’s not mandatory. We start from foundational concepts and progressively build toward advanced agentic systems — so complete beginners can follow along comfortably.

Do you provide placement support after the course?

Absolutely. We offer professional resume building, LinkedIn optimization, GitHub portfolio guidance, mock interviews (technical + HR), and company-specific question banks. You also complete 5 capstone projects that serve as proof of your skills.

What salary range can I expect after completing this training?

Freshers typically land roles in the ₹8–16 LPA range. With strong projects, that jumps to ₹16–32+ LPA. Experienced professionals (1–3 years) can target ₹30–50+ LPA in Hyderabad’s competitive AI market.

Is the training available online, or only in-person?

We offer all three modes — in-person at Ameerpet, fully online, and hybrid. All modes include 24×7 lab access and live instructor-led sessions with interactive Q&A.

Do I get lab access to practice outside class hours?

Yes — you get 24×7 access to fully equipped GPU labs. Practice agentic workflows, multi-agent simulations, and tool integrations at any time that suits you.

Will I receive a certificate after completing the course?

Yes. You earn an Agentic AI Certification from the academy upon successful completion, along with real project work that strengthens your profile during job interviews.

Are weekend-only batches available for working professionals?

Yes — dedicated Saturday & Sunday batches are available, along with workshops and 1:1 mentoring sessions designed specifically for professionals balancing work and learning.

How many students are in each batch?

Batches are limited to 10–15 students to ensure personalized attention, one-to-one doubt solving, and hands-on lab practice for every learner.

Is the curriculum updated for 2026 industry demands?

Yes. The syllabus covers advanced reasoning models, multi-agent orchestration, tool ecosystems, ethical agent design, and production deployment — all aligned with what companies are actively hiring for in 2026.

Ready to Start?

Enroll in Agentic AI & Gen AI and start building real-world skills today.