IBM RAG & Agentic AI Course

BIT — Baroda Institute of Technology offers the IBM RAG & Agentic AI Professional Certificate program in Vadodara. This course is conducted as live, instructor-led online classes and in-person classroom sessions at BIT's centres in Sayajigunj, Waghodia Road, and Manjalpur. The curriculum is aligned with IBM's globally recognised framework and covers Agentic AI, RAG pipelines, LangChain, LangGraph, CrewAI, and cloud deployment. Upon completion, students receive a government-recognised BIT certification aligned with NSDC, Skill India, and NIELIT.

Yes. BIT provides both live online classes and classroom-based training for the Agentic AI course. Online batches are available to learners across Vadodara, Ahmedabad, Surat, Anand, and anywhere in Gujarat or India. The live online classes are fully instructor-led, ensuring real-time interaction, doubt resolution, and project mentorship — identical in quality to in-centre classroom sessions.

Students who successfully complete the Agentic AI program at BIT receive a government-recognised BIT certification that is aligned with NSDC (National Skill Development Corporation), Skill India, and NIELIT standards. For eligible programs, an IBM Professional Certificate is also available, adding significant value to the learner's career profile. BIT's ISO 9001:2015 certified institute ensures that the certificate carries credibility with top MNCs and recruiters across India.

Agentic AI refers to a new generation of artificial intelligence systems where AI agents can plan, reason, make decisions, and act autonomously to complete complex tasks — without step-by-step human instructions. Unlike traditional AI that responds to prompts, agentic AI systems collaborate, delegate sub-tasks, and operate across tools and databases. In 2025, demand for Agentic AI professionals in India has surged, with MNCs and startups actively hiring AI Agent Developers, AI Automation Engineers, and GenAI Architects. Learning Agentic AI at BIT in Gujarat positions students at the very forefront of this demand.

BIT's Agentic AI course is built on an IBM-aligned curriculum framework and includes real-world project-based learning using LangChain, LangGraph, CrewAI, RAG pipelines, and cloud deployment (AWS/Azure/GCP). Unlike recorded video courses, BIT provides live instructor-led sessions with expert mentors, hands-on lab access, and personalised career guidance. The course is available both online and at classroom centres in Vadodara, Ahmedabad, Surat, and Anand. BIT's 24+ years of IT training heritage, 25,000+ student placements, and ISO 9001:2015 certification make it the most trusted choice in Gujarat.

BIT's live online classes are conducted in real-time by experienced AI trainers, exactly like classroom sessions — but delivered via an interactive online platform. Students can ask questions, participate in coding exercises, work on live projects, and receive immediate feedback during class. Recorded sessions are also provided for revision. This instructor-led format ensures structured learning, accountability, and a much higher completion and placement rate compared to self-paced platforms.

BIT's Agentic AI training is available in Vadodara (three centres: Sayajigunj, Waghodia Road, and Manjalpur), Ahmedabad, Anand, and Nadiad as classroom-based training. Additionally, fully live online classes are available for students in Surat, across Gujarat, and anywhere in India. All batches — online and offline — are instructor-led, ensuring consistent quality regardless of your location.

After completing BIT's Agentic AI & IBM RAG course, students can pursue roles such as: AI Agent Developer, Generative AI Engineer, RAG Pipeline Developer, LLM Application Developer, AI Automation Specialist, Cloud AI Architect, Prompt Engineer, and AI Solutions Consultant. These roles are in high demand across IT companies, fintech, healthcare, e-commerce, and manufacturing sectors in India and globally. BIT's placement support further helps students connect with top recruiters.

Traditional AI systems respond to individual prompts — they perform one task at a time based on what a user asks. Agentic AI, on the other hand, involves autonomous agents that can decompose a complex goal into sub-tasks, plan a sequence of actions, use tools (like web search, databases, or APIs), and collaborate with other agents to complete the goal with minimal human intervention. For example, an agentic AI system can independently research a topic, write a report, cross-check facts, and send a summary email — all on its own. At BIT, students learn to build such systems using LangChain, LangGraph, and CrewAI frameworks.

LangChain is an open-source framework that allows developers to build applications powered by large language models (LLMs). It enables chaining multiple AI steps together — such as retrieving documents, processing them, and generating a response. LangGraph extends LangChain with graph-based control flows, making it possible to design complex, stateful agentic workflows where different nodes (agents or tools) interact dynamically. BIT teaches both LangChain and LangGraph because they are the industry standard for building production-ready agentic AI applications in 2025.

CrewAI is a framework that enables multiple AI agents to work together as a team — each assigned a specific role, goal, and set of tools — to collectively solve complex tasks. For instance, one agent may research, another may write, and a third may review and refine content, just like a human team. In BIT's Agentic AI course, students learn to design and deploy multi-agent systems using CrewAI, enabling them to build intelligent automation pipelines that can perform real business workflows autonomously.

RAG (Retrieval-Augmented Generation) is a technique that enhances LLMs by connecting them to external knowledge bases — such as company documents, databases, or the internet — so that the AI can retrieve relevant, up-to-date information before generating a response. This makes AI outputs far more accurate, context-aware, and business-relevant than relying on the LLM's training data alone. BIT's IBM RAG & Agentic AI course teaches students how to design, build, and deploy RAG pipelines, which is one of the most in-demand skills for enterprise AI roles in India.

Yes. BIT's Agentic AI course includes comprehensive training on deploying AI solutions using major cloud platforms — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Students learn to host AI models, manage vector databases, build serverless AI functions, set up CI/CD pipelines for AI applications, and ensure scalability and security of cloud-based AI systems. This cloud integration module is critical for students aiming for industry-ready AI roles where deployment skills are as important as model building.

BIT operates three training centres in Vadodara where the Agentic AI course is available: (1) Sayajigunj — the main branch in central Vadodara; (2) Waghodia Road — located near Uma Char Rasta, Prabhat Nagar; (3) Manjalpur — serving south Vadodara. To enrol, you can visit any of these centres, call the BIT helpline, or register online at bitbaroda.com. A free demo class is also available before you commit, so you can experience the teaching quality firsthand.

BIT's live online Agentic AI classes are conducted via an interactive virtual classroom platform with real-time video, live coding demonstrations, Q&A sessions, screen sharing, and collaborative exercises. Each batch has a fixed schedule with a dedicated instructor who leads every session live. Students can ask questions in real time, participate in coding labs, and submit projects for review — making the online experience as effective and engaging as attending a physical classroom. Recorded sessions of each live class are provided for students who want to revise at their own pace.

Upon successfully completing the Agentic AI program, students receive a BIT Certification that is government-recognised and aligned with NSDC, Skill India, and NIELIT. For the IBM RAG & Agentic AI track specifically, students may also qualify for an IBM Professional Certificate, which is an internationally recognised credential that strengthens your resume for global tech roles. BIT's ISO 9001:2015 certification ensures both certificates are backed by a quality-assured training system, making them credible to recruiters across India and beyond.

BIT's Agentic AI course includes hands-on project work throughout, not just theory. Students build real-world projects such as: an intelligent document Q&A assistant using RAG pipelines; a multi-agent research and report-generation system using CrewAI; an automated customer support agent using LangChain; a cloud-deployed AI workflow on AWS or Azure; and an n8n-based AI automation pipeline. These projects directly simulate industry use cases and form a strong portfolio that students can showcase during job interviews.

Agentic AI is one of the fastest-growing specialisations in India's tech sector. Freshers with a certified Agentic AI skill set can expect entry-level salaries ranging from ₹4–8 LPA, while professionals with 2–3 years of experience in AI agent development and cloud deployment can command ₹12–25 LPA or higher at top MNCs and AI-first startups. Roles such as AI Agent Developer, GenAI Engineer, RAG Specialist, and AI Automation Engineer are among the most actively recruited positions in 2025. BIT's dedicated placement support and industry network further assist students in landing their first or next AI role.