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Generative AI & Agentic AI Training

Master Generative AI & Agentic AI with Industry-Focused Learning

Explore Generative AI, large language models (LLMs), prompt engineering, and autonomous AI agents to understand how intelligent technologies transform modern business operations.

Develop practical expertise through hands-on exercises, real-world projects, and expert guidance covering AI applications, workflow automation, and intelligent decision-making systems.

Strengthen your career prospects with practical AI skills and prepare for emerging opportunities in AI development, machine learning, AI automation, and intelligent agent engineering.

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Enroll In Our Generative AI And Agentic AI Course To Build Key Skills In AI Technologies.
Gain Knowledge In Generative AI, Prompt Engineering, Large Language Models, And AI Agents.
Engage In Learning Through Hands-On Projects, AI Applications, And Automated Workflow Creation.
Get Ready For Career Paths In AI Development, Agent Engineering, And Process Automation.

Job Assistance

1,200+ Enrolled

In collaboration with

65+ Hrs.

Duration

Online/Offline

Format

LMS

Life Time Access

10k+ Placed Students Download Curriculum Interview Questions

Quality Training With Affordable Fee

⭐ Fees Starts From

INR ~~36,000~~

INR 16,500

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Develop Practical Skills in Generative AI and Agentic AI

Generative AI and Agentic AI Course introduces learners to artificial intelligence concepts, large language models, prompt engineering, AI content generation, and autonomous agents. Participants learn how intelligent systems generate useful outputs and support business processes through AI-powered solutions.
The curriculum combines instructor-led sessions, practical demonstrations, guided exercises, and real-world projects. Learners explore generative models, LLM applications, prompt design, AI assistants, agent frameworks, API integration, workflow automation, and responsible AI practices.
Project-based learning helps participants practise AI application development, prompt optimization, retrieval-augmented generation (RAG), intelligent task execution, multi-agent collaboration, automated workflows, and AI solution evaluation for practical business requirements.
Career preparation includes placement guidance, resume assistance, mock interviews, and professional mentoring. These resources help learners strengthen their technical confidence and prepare for opportunities in Generative AI development, AI engineering, and agent-based application development.
The syllabus covers modern generative models, large language models, vector databases, retrieval-augmented generation, AI agent frameworks, tool integration and responsible AI principles. Learners develop skills relevant to emerging AI applications and intelligent automation requirements.
Generative AI and Agentic AI learners receive career-oriented support through interview preparation, certification guidance, and mentoring. These resources help improve professional readiness and prepare candidates to explore opportunities in Generative AI, Agentic AI and AI solution development.

Key Skills You Will Learn in Generative AI & Agentic AI Course

Understand Generative AI fundamentals, large language models, prompt engineering, AI-generated content, model capabilities, and responsible AI implementation techniques.

Explore advanced AI application techniques, including retrieval-augmented generation, vector databases, LLM integration, and context-aware response generation.

Develop practical skills in AI agent creation, tool calling, task planning, multi-step reasoning workflows, agent coordination, and autonomous task execution.

Gain experience with AI APIs, agent frameworks, workflow automation, LLM application development, and techniques for evaluating AI-generated results.

Your IT Career Starts Here

550+ Students Placed Every Month!

Get inspired by their progress in the Career Growth Report.

Other Categories Placements

Non-IT to IT (Career Transition) 2371+
Diploma Candidates3001+
Non-Engineering Students (Arts & Science)3419+
Engineering Students3571+
CTC Greater than 5 LPA4542+
Academic Percentage Less than 60%5583+
Career Break / Gap Students2588+

Top Placement Record

Upcoming Batches For Classroom and Online

Weekdays

19 - Oct - 2026

08:00 AM & 10:00 AM

Weekdays

21 - Oct - 2026

08:00 AM & 10:00 AM

Weekends

24 - Oct - 2026

(10:00 AM - 01:30 PM)

Weekends

25 - Oct - 2026

(09:00 AM - 02:00 PM)

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Who Should Take a Generative AI and Agentic AI Certification Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

Job Roles For Generative AI & Agentic AI Certification Course

Generative AI Engineer

AI Agent Developer

Prompt Engineer

LLM Application Developer

AI Automation Engineer

Machine Learning Engineer

AI Solutions Architect

Multi-Agent Systems Developer

What’s included ?

📊 Free Aptitude and Technical Skills Training

Learn basic maths and logical thinking to solve problems easily.
Understand simple coding and technical concepts step by step.
Get ready for exams and interviews with regular practice.

🛠️ Hands-On Projects

Work on real-time projects to apply what you learn.
Build mini apps and tools daily to enhance your coding skills.
Gain practical experience just like in real jobs.

🧠 Launch Your Career in Top MNC Companies

Master technical and HR interview rounds.
Gain confidence with expert mock interview practice.
Improve your chances of getting hired faster.

🎯 Interview Preparation For Freshers

Practice company-based interview questions.
Take online assessment tests to crack interviews
Practice confidently with real-world interview and project-based questions.

🧪 LMS Self Learning Platform

Explore expert trainer videos and documents to boost your learning.
Study anytime with on-demand videos and detailed documents.
Top MNC interview questions & self coding practice.

Curriculum

Syllabus of Generative AI & Agentic AI Course

Module 1: AI Foundations & Introduction to NLP

Fundamentals of artificial intelligence and NLP
Introduction to Generative AI concepts and applications
Python programming basics for AI development
Machine learning and deep learning fundamentals
Natural language processing principles and techniques
Advanced NLP methods and generative model concepts

Module 2: Generative AI & Prompt Engineering

Understanding Generative AI models and capabilities
Introduction to large language models and prompt engineering
Practical applications of ChatGPT and conversational AI
Responsible AI practices, fairness, and bias management
Implementing AI safety guardrails and output controls

Module 3: RAG & LLM Application Development

Fundamentals of retrieval-augmented generation (RAG)
Understanding RAG architecture and retrieval workflows
Developing and evaluating RAG pipelines
Introduction to vector databases and semantic search
Installing and configuring the LangChain framework
Working with LangChain components and integrations
Building LLM workflows with LangGraph and LangSmith

Module 4: LLM Models, Evaluation & Fine-Tuning

Introduction to small language models (SLMs)
Exploring LlamaIndex for LLM-powered applications
Comparing open-source and proprietary language models
Understanding popular open-source LLMs
Evaluating language models in academic environments
Assessing LLMs and AI agents for industry applications
Understanding LLM evaluation metrics and performance measures
Introduction to fine-tuning large language models
Exploring popular LLM fine-tuning techniques
Applying quantization methods for model optimization

Module 5: Agentic AI & Intelligent Agent Development

Introduction to AI agents and autonomous systems
Python programming for Agentic AI using Pydantic
Designing and developing intelligent AI agents
Integrating RAG capabilities into AI agents
Understanding LLM agent architecture and execution workflows
Identifying and managing LLM drift and prompt drift
Exploring knowledge graphs and Graph RAG techniques

Module 6: Multimodal AI & Reinforcement Learning

Introduction to multimodal large language models (MLLMs)
Understanding multimodal AI architectures and applications
Fundamentals of diffusion models and image generation
Creating AI-generated images with Stable Diffusion
Introduction to reinforcement learning principles
Exploring advanced reinforcement learning techniques
Working with reinforcement learning libraries

Module 7: LLM Deployment & Model Operations

Understanding deployment strategies for large language models
Introduction to LLM model serving frameworks
Exploring popular model serving technologies
Monitoring LLM applications using observability tools
Understanding Model Context Protocol (MCP)
Exploring model optimization and deployment practices

Module 8: Agentic AI Projects & Industry Applications

Deploying AI applications using industry tools and frameworks
Developing LLM solutions with LangGraph and LangSmith
Building creative AI applications using popular LLMs
Creating academic AI agents with LangGraph and LLMs
Developing multimodal multi-agent systems for academic use cases
Building industry-focused LLM agents with LangGraph and RAG
Creating multimodal multi-agent systems with retrieval capabilities
Developing autonomous agents using the AutoGen framework

Show Less

Course Objectives

What are the main objectives of Generative AI & Agentic AI Training?

The primary objective of this training is to help learners understand Generative AI concepts, large language models, prompt engineering, AI agent development, retrieval-augmented generation, and intelligent automation while developing practical skills for AI-focused professional roles.

Which skills can I develop through this Generative AI & Agentic AI certification course?

Understand Generative AI and LLM fundamentals.
Create effective prompts for AI models.
Develop applications using large language models.
Build intelligent agents for automated tasks.
Implement retrieval-augmented generation systems.
Integrate AI APIs and development frameworks.
Evaluate AI outputs and application performance.

How does the training prepare learners for real-world AI projects?

The program emphasizes practical AI development through hands-on exercises, real-world projects, LLM integration, agent creation, RAG implementation, and automated workflow development, helping learners apply AI techniques to business challenges and emerging technology requirements.

Which Generative AI and Agentic AI topics are included in the course?

Generative AI Fundamentals
Prompt Engineering
Large Language Models
Retrieval-Augmented Generation
Vector Databases
AI Agent Development
Multi-Agent Systems
LLM Deployment and Evaluation

Why is practical project experience important in Generative AI & Agentic AI certification training?

Practical project experience helps learners apply AI concepts, develop LLM-powered applications, create intelligent agents, integrate external tools, improve workflow automation, and evaluate model outputs. These activities strengthen problem-solving abilities and prepare learners to address practical AI development requirements.

Which practical activities are included in Generative AI & Agentic AI training institute?

Hands-on Generative AI development sessions
Prompt engineering exercises
LLM application development projects
RAG pipeline implementation
AI agent creation and configuration
Automated workflow development
Model evaluation and deployment exercises

How does the course support AI certification preparation?

AI concept assessments
Practice tests and technical evaluations
Expert mentoring sessions
AI project reviews
Hands-on programming exercises
Technical topic revision
Certification preparation guidance

Which career opportunities can I explore after Generative AI & Agentic AI Training?

After completing the program, learners can explore roles such as Generative AI Engineer, AI Agent Developer, LLM Application Developer, Prompt Engineer, AI Automation Engineer, Machine Learning Engineer, AI Solutions Developer, and Multi-Agent Systems Developer, depending on their skills and experience.

Which tools and technologies are covered in the Generative AI & Agentic AI course?

Python
LangChain
LangGraph
LangSmith
LlamaIndex
Vector Databases
Large Language Model APIs
AutoGen and CrewAI
Model Context Protocol (MCP)
Stable Diffusion

How is the Generative AI & Agentic AI curriculum aligned with industry requirements?

The curriculum covers current AI development approaches, LLM application design, RAG architectures, autonomous agent frameworks, model evaluation, deployment methods, and AI observability. These topics help learners develop practical knowledge relevant to modern AI engineering and intelligent automation projects.

What career support is available with the Generative AI & Agentic AI placement course?

Placement assistance
Resume development guidance
Technical interview preparation
Mock interview sessions
Career planning guidance
AI project mentoring
Job opportunity guidance

Does Generative AI & Agentic AI training include real-time project experience?

The training curriculum incorporates practical project work involving LLM application development, prompt engineering, RAG implementation, AI agent creation, multi-agent workflows, and model deployment. These activities help learners gain applied experience and strengthen their understanding of Generative AI and Agentic AI technologies.

Explore the Generative AI & Agentic AI Course

Generative AI & Agentic AI course is a career-focused program designed to help learners develop practical knowledge of generative models, large language models, and intelligent AI agents. The program covers AI fundamentals, prompt engineering, machine learning, deep learning, retrieval-augmented generation, vector databases, agent development, workflow automation, model evaluation, and AI deployment methods used in modern technology environments. Learners gain practical experience through expert-led sessions, live demonstrations, hands-on labs, and real-time projects based on industry scenarios. The training covers Python programming, LLM applications, prompt design, RAG pipelines, AI agent frameworks, tool integration, multi-agent systems, model serving, and AI observability. Participants strengthen skills in AI application development, intelligent task execution, workflow optimization, model assessment, and automated solution building. The syllabus includes current AI frameworks, development tools, and industry practices. Learners also receive certification guidance, resume assistance, interview preparation, placement support, and career mentoring through the Generative AI & Agentic AI course. After completion, candidates can explore roles such as Generative AI Engineer, AI Agent Developer, LLM Application Developer, and AI Automation Engineer.

Additional Course Information

Job Roles and Responsibilities After Generative AI & Agentic AI Course

Generative AI Engineer: Develops AI-powered applications, integrates large language models, designs prompts, evaluates generated outputs, and builds intelligent solutions according to business requirements.
AI Agent Developer: Designs autonomous AI agents, configures tools, develops task execution workflows, integrates language models, and implements intelligent systems for automated business operations.
LLM Application Developer: Builds applications powered by large language models, integrates APIs, manages contextual information, and develops conversational solutions for practical use cases.
AI Automation Engineer: Creates AI-driven workflows, connects intelligent agents with external tools, manages workflow execution, and improves operational efficiency through AI technologies.
Prompt Engineer: Designs effective prompts, improves model responses, evaluates generated content, applies context management techniques, and refines interactions to achieve reliable AI application results.
AI Solutions Architect: Plans AI application architectures, coordinates system integrations, evaluates deployment requirements, and supports the implementation of scalable AI solutions.

Popular Tools and Platforms Covered in Generative AI & Agentic AI Training

LangChain: Provides development components for connecting language models with prompts, external tools, data sources, and application workflows to build LLM-powered solutions.
LangGraph: Supports the development of stateful AI workflows and agent systems by coordinating tasks, managing execution steps, handling decisions, and enabling multi-agent collaboration.
LangSmith: Helps developers trace AI application execution, monitor workflow behavior, evaluate model responses, identify performance issues, and improve LLM-powered application reliability.
LlamaIndex: Enables developers to connect language models with external data sources, organize information, implement retrieval workflows, and create knowledge-based AI applications.
Vector Databases: Store and retrieve vector representations of information, support semantic search, improve contextual retrieval, and provide relevant data for retrieval-augmented generation applications.
AutoGen & CrewAI: Support the development of collaborative AI agents by coordinating specialized tasks, defining agent roles, connecting tools, and building automated multi-agent workflows.

Key Skills You Will Gain in Generative AI & Agentic AI Certification Course

Prompt Engineering: Create effective prompts, define clear instructions, manage contextual information, refine model responses, and improve the quality of AI-generated outputs.
LLM Development: Develop applications using large language models, integrate AI APIs, configure model parameters, implement conversational features, and build practical AI-powered solutions.
RAG Implementation: Connect language models with external knowledge sources, configure retrieval pipelines, integrate vector databases, improve contextual responses, and evaluate retrieval accuracy.
AI Agent Development: Build intelligent agents, integrate external tools, design task execution workflows, coordinate multiple agents, and implement automated solutions for complex requirements.
Model Evaluation: Assess AI-generated responses, apply evaluation metrics, examine output quality, identify model limitations, and improve application reliability through systematic testing.
Deployment & Integration: Connect AI APIs, configure model serving frameworks, monitor system performance, and manage operational requirements for AI-powered solutions.

Career Opportunities After Generative AI & Agentic AI Training Institute

Industry Demand: Healthcare, banking, retail, education and IT organizations are adopting generative models and intelligent agents to improve productivity and automate business processes.
Global Careers: Generative AI and Agentic AI expertise can support opportunities in AI development, intelligent automation, LLM engineering, and emerging technology projects across organizations.
Automation Growth: Increasing adoption of AI agents, intelligent workflows, LLM applications, and autonomous systems is creating new opportunities for professionals with relevant AI development skills.
AI Applications: Businesses increasingly use generative models, conversational assistants, and autonomous agents, creating opportunities to develop, evaluate, and maintain intelligent applications.
Certifications: Continued learning and practical exposure to AI frameworks help professionals expand their expertise through relevant certifications, technical projects, and specialized training programs.
Career Growth: Experienced professionals can progress into positions such as Senior AI Engineer, AI Solutions Architect, LLM Engineer, AI Technical Lead, Agentic AI Specialist, and AI Consultant.

Need customized curriculum?

Hands-on Real-Time Generative AI & Agentic AI Projects

Project 1

AI-Powered Chatbot Development Project

Develop an AI chatbot using large language models and prompt engineering to generate relevant responses, understand user queries, manage conversations, and improve interaction quality.

Project 2

Retrieval-Augmented Application

Build a RAG application by connecting language models with external knowledge sources to retrieve relevant information, generate contextual answers, and improve response accuracy.

Project 3

Autonomous AI Agent Development

Create an intelligent AI agent using suitable frameworks to perform tasks, integrate external tools, process user instructions, manage workflows, and automate practical business activities.

Project 4

Multi-Agent Workflow Automation Project

Develop a multi-agent system using frameworks such as LangGraph or CrewAI to coordinate specialized agents, automate complex workflows, exchange information, and complete assigned tasks efficiently.

Generative AI & Agentic AI Placement Partners and Career Support

Our Generative AI & Agentic AI training offers career-oriented guidance with practical learning to help participants develop AI skills needed for intelligent automation and modern application development.
The Generative AI & Agentic AI placement assistance covers resume building, interview preparation, mock interviews, and profile enhancement to improve readiness for AI-related employment opportunities.
Learners gain practical exposure to Generative AI, Large Language Models (LLMs), prompt engineering, AI agents, LangChain, RAG, Python, and AI automation through industry-based project activities.
The program prepares participants for positions such as Generative AI Engineer, AI Engineer, Agentic AI Developer, LLM Engineer, Prompt Engineer, AI Automation Specialist, and Machine Learning Engineer.
Technical assessments, communication practice, and Generative AI & Agentic AI placement assistance help strengthen professional readiness and support candidates in developing AI careers.
Placement guidance enables learners to explore opportunities with companies such as TCS, Infosys, Wipro, HCLTech, Accenture, Cognizant, IBM, Capgemini, Deloitte, Microsoft and Google.

Advance Your Career with Generative AI & Agentic AI Certification

Generative AI & Agentic AI certification demonstrates practical knowledge of generative models, prompt engineering, AI agents, large language models, and intelligent automation across modern IT environments. Generative AI & Agentic AI certification training builds practical abilities to understand AI workflows, develop prompts, integrate LLMs, create AI agents, and implement intelligent solutions while preparing learners for careers as Generative AI Engineers, AI Developers, Agentic AI Engineers, LLM Engineers, and AI Automation Specialists.

Complete Your Course

A downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

A physical version of your officially branded and security-marked Certificate.

Get Certified

Learn with Our Skilled Generative AI & Agentic AI Trainers

Our Generative AI & Agentic AI trainers are skilled industry experts with practical knowledge of large language models, AI agents, LangChain, and modern AI application development methods.
The course provides practical training in Generative AI applications, AI workflows, agentic systems, model integration, data processing, and automation through real-world AI-based project scenarios.
Learners develop an understanding of large language models, prompt engineering techniques, AI agent architectures, retrieval-augmented generation, workflow automation, and responsible AI practices.
Practical assignments, case studies, and lab exercises help participants strengthen confidence and technical skills to develop effective Generative AI solutions across enterprise-level applications.
Generative AI & Agentic AI trainers deliver practical guidance on prompt design, LLM integration, RAG, LangChain and intelligent automation procedures with effective implementation approaches.
Experienced professionals offer placement guidance, real-time project exposure, practical AI knowledge, and expert Generative AI & Agentic AI training support backed by relevant industry experience.

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

Course Syllabus

100% Placements | Get Hired in Top MNC

Career Support

Placement Assistance

Exclusive access to ACTE Job portal

Mock Interview Preparation

1 on 1 Career Mentoring Sessions

Career Oriented Sessions

Resume & LinkedIn Profile Building

We Offer High-Quality Training at The Lowest Prices.

Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

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What Makes ACTE Training Different?

Feature

ACTE Technologies

Other Institutes

Affordable Fees

Competitive Pricing With Flexible Payment Options.

Higher Fees With Limited Payment Options.

Industry Experts

Well Experienced Trainer From a Relevant Field With Practical Training

Theoretical Class With Limited Practical

Updated Syllabus

Updated and Industry-relevant Course Curriculum With Hands-on Learning.

Outdated Curriculum With Limited Practical Training.

Hands-on projects

Real-world Projects With Live Case Studies and Collaboration With Companies.

Basic Projects With Limited Real-world Application.

Certification

Industry-recognized Certifications With Global Validity.

Basic Certifications With Limited Recognition.

Placement Support

Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

Basic Placement Support

Industry Partnerships

Strong Ties With Top Tech Companies for Internships and Placements

No Partnerships, Limited Opportunities

Batch Size

Small Batch Sizes for Personalized Attention.

Large Batch Sizes With Limited Individual Focus.

LMS Features

Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

No LMS Features or Perks.

Training Support

Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

Limited Mentor Support and No After-hours Assistance.

FAQs

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Does ACTE provide placement?

ACTE provides placement assistance to students. Please visit our Placed Students List on our website
We have strong relationships with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
More than 3500+ students placed in the last year in India & Globally
ACTE conducts development sessions including mock interviews, presentation skills, and technical interview preparation to help students face challenging interview situations with confidence.
85% percent placement record
Our Placement Cell supports you till you get placed in a suitable MNC
Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal helps you access Job Openings, Study Materials, Videos, Recorded Sessions & Top MNC Interview Questions

Can ACTE certification support my Generative AI & Agentic AI career?

ACTE Generative AI & Agentic AI certification documents your training and learning in generative AI, large language models (LLMs), prompt engineering, AI agents, workflow automation, and AI application development. It can strengthen your profile with relevant training credentials when pursuing opportunities in artificial intelligence and automation.

Does the course provide real-time Generative AI & Agentic AI project practice?

Yes. The program includes practical projects, hands-on assignments, case studies, and AI development activities covering prompt engineering, LLM integration, chatbot development, AI agents, retrieval-augmented generation (RAG), and intelligent workflow automation.

Who provides training for the Generative AI & Agentic AI course?

Our Generative AI & Agentic AI trainers have practical knowledge of artificial intelligence, machine learning concepts, large language models, prompt engineering, AI frameworks, agent development, and automation techniques. They guide learners through core concepts and practical implementation.

How can I catch up after missing a Generative AI & Agentic AI class?

If you miss a scheduled class, available recorded lessons and course resources can help you revisit the topics covered. Trainer assistance and additional learning support can help you understand important concepts and continue learning without major gaps.

Which learning modes are available for the Generative AI & Agentic AI course?

Online Instructor-Led Training
Classroom Training
One-to-One Training
Fast-Track Batches
Customized Learning Programs

What makes ACTE's Generative AI & Agentic AI course useful?

ACTE provides practical Generative AI & Agentic AI learning, real-time projects, experienced trainers, certification guidance, interview preparation, and career support to help participants develop relevant AI development and automation skills.

Can I access the course material online?

Yes, available course materials can be accessed through the Student Portal, including study materials, videos, recorded sessions, and interview preparation resources. Access is subject to the applicable course and portal terms.

Which certificate is provided after completing Generative AI & Agentic AI training?

After meeting the required training completion criteria, you will receive an ACTE Generative AI & Agentic AI Course Completion Certificate documenting your participation and learning during the program.

Are practical activities included in the Generative AI & Agentic AI course?

Yes. The program includes hands-on AI exercises, real-time projects, practical assignments, and interactive sessions covering prompt engineering, LLM applications, chatbot development, AI agent creation, RAG implementation, and intelligent process automation.

How can I register for the Generative AI & Agentic AI training program?

Contact the ACTE support team for complete course details.
Visit your nearest ACTE training center for registration guidance.
Complete the enrollment process through the ACTE website.

How do I access recorded Generative AI & Agentic AI classes?

After registering for the course, available recorded training sessions can be accessed through the learning platform, helping you review lessons, revise AI concepts, and practice whenever convenient.

How do I register for Generative AI & Agentic AI Training?

You can contact our support team to get complete information about Generative AI & Agentic AI Training, including course fees, batch schedules, training modes, curriculum, and registration procedures. Our team can assist with the admission process and help you select a suitable batch.