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Artificial Intelligence (AI)

Generative AI & Agentic AI

Learn to build intelligent AI applications using Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, LangChain, LangGraph, and automation frameworks. Gain hands-on experience creating AI-powered chatbots, autonomous workflows, and real-world AI solutions for modern businesses.

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About the Generative AI & Agentic AI Course

The Generative AI & Agentic AI Course is designed for learners who want to build practical skills in one of the fastest-growing areas of artificial intelligence. The program covers how modern AI systems generate content, understand instructions, use tools, make decisions, and complete multi-step tasks with minimal human intervention.

This Generative AI Course is suitable for students, software professionals, developers, data professionals, testers, business professionals, and beginners who want to build a career in AI. Learners can start with fundamental concepts and gradually move into advanced topics such as prompt engineering, large language models, AI application development, RAG, AI agents, workflows, tool integration, and automation.

Through Generative AI Training, learners work on practical exercises and project-based assignments instead of focusing only on theoretical concepts. The curriculum is structured to help learners understand how Generative AI applications and Agentic AI systems are developed and used in real-world business environments.

The program also supports learners preparing for Generative AI Certification and Agentic AI Certification Course pathways. Practical projects, assessments, interview preparation, and career guidance help learners become more confident when applying for AI-focused roles.

Skills You Will Learn

Skills You Will Gain in the Generative AI & Agentic AI CourseThe program focuses on practical and job-oriented skills required to build, integrate, and work with modern AI applications.
Generative AI Fundamentals:Understand Generative AI concepts, AI models, language models, use cases, limitations, and how generative systems are used across industries.
Prompt Engineering:Learn how to design effective prompts, improve AI responses, use structured prompting techniques, and develop reliable prompts for different business requirements.
Large Language Models:Understand the fundamentals of LLMs, model capabilities, context handling, tokens, embeddings, and how LLMs can be integrated into applications.
AI Application Development:Learn how to create practical AI-powered applications using modern frameworks, APIs, models, and development approaches.
Retrieval-Augmented Generation (RAG):Understand how AI applications can retrieve relevant information from external data sources and generate context-aware responses.
Vector Databases & Embeddings:Learn the role of embeddings and vector search in semantic retrieval, knowledge-based applications, and RAG systems.
AI Agents:Build an understanding of intelligent AI agents that can reason through tasks, use tools, access information, and perform multi-step operations.
Agentic AI Workflows:Learn how Agentic AI systems can coordinate multiple actions, tools, and workflows to automate complex tasks.
Tool & API Integration:Understand how AI systems interact with APIs, databases, applications, and external tools to complete specific tasks.
AI Automation:Learn how Generative AI and Agentic AI can be applied to automate repetitive processes and improve business productivity.
AI Application Testing & Optimization:Understand how to evaluate AI outputs, improve application performance, identify limitations, and make AI solutions more reliable.
Real-World AI Projects:Apply your knowledge through practical projects that demonstrate your ability to develop and implement AI-powered solutions.

Course Curriculum

Generative AI & Agentic AI Course Curriculum+

The curriculum combines Generative AI fundamentals with advanced Agentic AI concepts, practical development, automation, and project implementation.

Module 1: Introduction to Artificial Intelligence & Generative AI+

Learn the fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Understand how modern AI systems work, where Generative AI fits into the AI ecosystem, and how businesses are adopting these technologies.

Module 2: Generative AI Fundamentals+

Explore Generative AI concepts, different types of generative models, language models, AI capabilities, common applications, limitations, and real-world use cases across technology, finance, healthcare, marketing, customer service, and other industries.

Module 3: Prompt Engineering+

Learn practical prompt engineering techniques for generating accurate and useful AI outputs. The module covers prompt structures, context management, role-based prompting, few-shot prompting, structured outputs, prompt optimization, and practical business scenarios.

Module 4: Large Language Models+

Understand how Large Language Models work and how they can be used to develop AI-powered applications. Learn about tokens, context windows, embeddings, model selection, API integration, and responsible usage of LLMs.

Module 5: Generative AI Application Development+

Learn how to integrate AI models into applications and create practical AI-powered solutions. This module focuses on application architecture, model APIs, response handling, workflows, and building useful AI features.

Module 6: Embeddings, Vector Search & RAG+

Understand embeddings, semantic search, vector databases, document processing, information retrieval, and Retrieval-Augmented Generation. Build knowledge-based AI applications that can work with domain-specific information.

Module 7: Introduction to Agentic AI+

Explore the fundamentals of Agentic AI and understand how AI agents differ from traditional chatbot and Generative AI applications. Learn how agents can reason, plan, use tools, access information, and perform tasks.

Module 8: AI Agents & Tool Calling+

Learn how AI agents interact with external tools, APIs, databases, and applications. Understand tool selection, function calling, task execution, agent workflows, and practical implementation patterns.

Module 9: Agentic AI Workflows+

Learn how to design multi-step AI workflows where agents can break down complex objectives into smaller tasks and execute them systematically. Explore workflow orchestration, decision-making, task management, and automation scenarios.

Module 10: Multi-Agent AI Systems+

Understand the concept of multiple AI agents working together to solve complex problems. Learn how different agents can handle specialized tasks and collaborate within an AI workflow.

Module 11: AI Automation & Business Use Cases+

Explore practical applications of Generative AI and Agentic AI in business processes. Learn how AI can support customer service, content generation, research, data processing, software development, reporting, workflow automation, and productivity improvement.

Module 12: Advanced AI Projects+

Work on practical projects that combine Generative AI, RAG, AI agents, automation, and external tool integration. Projects are designed to help learners build a portfolio that demonstrates practical AI development skills.

Module 13: Certification & Interview Preparation+

Prepare for relevant Generative AI Certification and Agentic AI Certification pathways through assessments, practical exercises, project discussions, technical interview preparation, and career-focused guidance.

Salary Expectations:

Entry-Level:

₹4 LPA – ₹8 LPA

Mid-Level:

₹8 LPA – ₹18 LPA

Senior-Level:

₹18 LPA – ₹30+ LPA

Placement Support

Placement Assistance & Career Support

The Generative AI Course with Placement Assistance focuses not only on technical learning but also on helping learners prepare for AI-related career opportunities.

Resume Building:

Create a professional, AI-focused resume that highlights your technical skills, projects, certifications, and relevant experience.

LinkedIn Profile Optimization:

Improve your LinkedIn profile to present your Generative AI and Agentic AI skills clearly to recruiters and potential employers.

Mock Interviews:

Practice technical and HR interview questions related to Generative AI, LLMs, prompt engineering, RAG, AI agents, and AI application development.

Job Assistance / Referrals:

Receive guidance on relevant job opportunities and support in identifying suitable AI-focused roles based on your skills and experience.

Career Mentoring:

Get career guidance on building an AI portfolio, selecting suitable job roles, improving technical skills, and preparing for the recruitment process.

Corporate Generative AI & Agentic AI Training

Corporate Generative AI & Agentic AI Training

Organizations can use customized Generative AI and Agentic AI Training to help teams understand and implement AI technologies within their business processes. Training can be delivered through online or on-site sessions based on organizational requirements.

Corporate programs can include customized learning plans, practical workshops, AI tools, prompt engineering, AI application development, RAG, AI agents, automation, and business-specific use cases. Training content can be adapted according to the team's technical background and business objectives.

The program can help teams identify suitable AI opportunities, improve productivity, automate repetitive workflows, and understand practical approaches for integrating AI into existing business processes.

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Frequently Asked Questions

Who can join the Generative AI & Agentic AI Course?+

The program is suitable for students, freshers, software professionals, developers, testers, data professionals, business professionals, and anyone interested in building practical AI skills.

Do I need prior experience to join the Generative AI Course?+

Prior AI experience is not mandatory. Basic programming knowledge can be helpful for advanced development modules, but the course can introduce learners to Generative AI concepts progressively.

What is the duration of the Generative AI & Agentic AI Course?+

The program duration depends on the selected training plan, learning pace, practical project requirements, and learning mode.

Does the course provide Generative AI Certification support?+

Yes. The program includes certification-focused preparation, assessments, practical learning, and guidance to help learners prepare for relevant Generative AI certification pathways.

What practical skills will I gain from Agentic AI Training?+

You will learn AI agents, tool calling, LLM integration, RAG, AI workflows, automation, API integration, multi-step task execution, and practical Agentic AI application development.

Does the program include practical projects?+

Yes. The training includes practical exercises and project-based learning designed to help learners apply Generative AI and Agentic AI concepts to real-world scenarios.

Is placement assistance available with the course?+

Yes. The Generative AI Course with Placement Assistance includes career support such as resume building, interview preparation, LinkedIn optimization, job guidance, and career mentoring.

What job roles can I pursue after completing the course?+

Depending on your background and skills, you can explore roles such as Generative AI Developer, AI Engineer, AI Application Developer, Prompt Engineer, Agentic AI Developer, AI Automation Engineer, and other AI-focused positions.

Is the Online Generative AI & Agentic AI Course available?+

Yes. The program can be offered through online learning, allowing learners to attend sessions remotely while accessing practical exercises, learning resources, projects, and career support.

How can I enroll in the Generative AI & Agentic AI Course?+

You can begin by contacting the training team, discussing your learning goals, selecting the suitable learning mode, and completing the enrollment process for the upcoming batch.