Programme Start
September 30, 2025
Duration
8 Months, Online
Weekly effort of 7-8 hours
Programme Fee
₹1,79,900
GST will be charged at checkout
Flexible Payment Options Available
Eligibility
Minimum Graduate or Diploma Holder (10+2+3) in any discipline
Documents Required to Apply
Programme Overview
Unlock the power of Generative AI and build real-world AI applications with our Professional Certificate Programme in Generative AI and LangChain: From Foundations to Advanced AI Agents. This program guides you from the foundations of Machine Learning and Deep Learning to mastering Large Language Models (LLMs) and creating intelligent AI agents using LangChain.
Through hands-on projects and practical exercises, you’ll learn to handle and prepare data, implement advanced workflows like RAG, and leverage the latest AI tools to build cutting-edge solutions. Ideal for aspiring AI professionals, developers, and tech enthusiasts looking to upskill and bring AI ideas to life.
Programme Highlights
Pre-Recorded Videos | Assignments
Hands-On Experience with 15+ Industry Tools*
10 Hours of Generative AI content and Doubt Clearing Sessions
Industry-backed Capstone Projects
Note:
The final number assignments and discussions will be confirmed closer to the programme start.
This is a self-paced online programme. Thus, faculty will not be a part of weekly live sessions or any other live interaction in this programme. We have a curated panel of eminent industry practitioners who will be conducting the weekly live doubt-clearing sessions.
Who is this Programme for?
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From college students to junior and senior engineers — anyone looking to lead and thrive in the AI era, staying relevant and competitive in the industry.
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Upgrade your skills to work effectively with AI, building smarter and more resilient systems.
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Transition into AI-driven roles — gain the practical knowledge and hands-on experience needed to design, deploy, and manage intelligent AI solutions in real-world projects.
Why Choose a Professional Certificate Programme in Generative AI and LangChain?
Harness the full potential of Data Science and AI for a rapidly-changing world
Harness the power of Generative AI and LangChain to lead in the AI-driven future.
Generative AI and Large Language Models (LLMs) are revolutionizing software development, automation, and knowledge management. By mastering these technologies, you’ll gain the skills to create intelligent AI agents, implement cutting-edge workflows, and transform ideas into real-world applications. This programme equips you with hands-on experience, giving you a competitive edge in an era where AI is becoming central to every industry.
- Drive innovation by building AI agents that automate complex tasks and generate actionable insights.
- Stay industry-relevant as organizations increasingly adopt AI tools to enhance productivity and decision-making.
Build practical expertise in LangChain, RAG, and LLMs to implement real-world AI solutions.
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70%
of enterprises plan to adopt Generative AI within the next three years.
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340%
Increase in LLM Demand
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85%
Projected Growth in AI & ML Roles
Generative AI
Modules on Generative AI
Generative AI Tools
Masterclass
Programme Modules
- Introduction to Machine Learning
- Types of Machine Learning
- Application of Machine Learning
- Introduction to Deep Learning
- Machine Learning vs Deep Learning
- Type of Neural Networks
- Transformers
- Why Machine Learning and Deep Learning are taught before Generative AI?
- Introduction to Artificial Intelligence
- Introduction to Large Language
- Capabilities of LLMs
- How LLMs are Transforming Software Development
- Closed-source and Open-Source LLMs
- Introduction to LangChain & the Problems it solves.
- Core LangChain Components.
- Understanding and Using Runnables in LangChain.
- Document Loaders – Bringing External Data into LangChain
- Text Splitters – Chunking and Structuring Data.
- Vector Stores – Embedding and Storing knowledge
- Retrievers – Fetching Relevant Information.
- Introduction to RAG
- Tools in LangChain
- Chaining in LangChain
During the internship phase, participants will apply all the concepts learned in the training modules to design and build a Generative AI Agent using LangChain. This project will focus on practical implementation, integrating data handling, retrieval, and generative components in a real world scenario.
Program Deliverables
- Certificate of Completion (Training)
- Internship Certificate (Post Project Submission)
- AI Agent Project Report and Demo
Learning Outcomes
- Understand and implement ML, DL, and LLM concepts
- Build Generative AI agents using LangChain
- Design RAG pipelines and multi-step AI workflows
- Gain hands-on experience with real-world AI applications
- Add a portfolio-ready AI project to showcase skills
Generative AI Tools
Note: All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
Other Tools
Note:
All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
This program is a low code / no code program. Python & its libraries will be covered only from an applications perspective.
Please note that the fee does not cover any payments required for certifications offered by the tools or tool subscriptions.
Programme Directors
Prof. M.P. Sebastian, PhD
Prof. M.P. Sebastian, PhD Professor, Information Systems
Prof. Sebastian received both his masters degree and PhD from the Indian Institute of Science, Bangalore. His research interests include artificial intelligence, machine learning, and data analytics.
More Info
Prof. Vidushi Pandey
Assistant Professor, Information Systems, IIMK
Prof. Vidushi Pandey holds a Ph.D. in Information Systems and specializes in Social Media, Data Analysis, and Digital Business. With a decade of experience as a researcher and teacher.
More InfoProgramme Certificate
MLRLAI will award a Professional Certificate of Successful Completion to participants who successfully complete the programme with a minimum score of 70% in the evaluation. Participants scoring below 70% in the overall evaluation will not be eligible for the certificate.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of MLRLAI.
Gain a deep understanding of Machine Learning, Deep Learning, and Large Language Models, and learn how they are transforming AI applications.
Learn to build intelligent, automated AI agents using LangChain, document loaders, vector stores, retrievers, and advanced chaining workflows.
Apply your skills through projects and exercises that simulate real-world AI solutions, including RAG and tool integrations.
Acquire the knowledge and practical expertise needed to stay ahead in the AI era and create impactful, AI-driven solutions for the industry.
The Learning Experience
Dive into a hands-on, immersive journey in Generative AI and LangChain. All course materials are provided upfront, allowing flexible learning, while cohort-based sessions ensure guidance, collaboration, and practical application throughout the programme.
You’ll have access to dedicated support 7 days a week for any technical or learning-related queries, ensuring a smooth and impactful learning experience. Build intelligent AI agents, work with real-world data, and master advanced workflows with confidence alongside a vibrant community of learners.
Frequently Asked Questions
This programme is designed for college students, junior to senior engineers, developers, tech enthusiasts, and anyone looking to upskill in Generative AI, LLMs, and LangChain. It is ideal for those who want to build real-world AI applications and stay relevant in the AI-driven industry.
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint
You will learn:
- Core concepts of Machine Learning, Deep Learning, and LLMs.
- LangChain fundamentals and advanced agentic workflows.
- Data handling and preparation, including vector stores and document loaders.
Building real-world AI applications using RAG, tools, and chaining techniques.
The course is delivered in a cohort-based, hands-on format with all study materials provided upfront. Cohort sessions include guidance, collaboration, and practical exercises to ensure a strong understanding of the concepts.
The programme duration is 3 months, with an expected commitment of 6-8 hours a week You can learn at your own pace, but cohort sessions and hands-on projects are scheduled to maximize learning outcomes.
Yes! Upon completing the programme with a minimum 70% score in evaluations, you will receive a Professional Certificate of Completion from MLRLAI. Participants scoring below 70% will not be eligible for the certificate.
Absolutely! The programme emphasizes practical, real-world applications, including building AI agents, implementing RAG workflows, and working with LangChain tools and vector databases.
A dedicated support team is available 7 days a week to assist with technical issues, learning platform queries, or any other questions that may affect your learning experience.
Yes! Generative AI, LLMs, and LangChain skills are highly in demand. Completing this programme equips you with industry-relevant skills to build intelligent AI solutions, making you more competitive in AI-driven roles.
Yes! All course materials remain accessible to participants even after the programme ends, so you can revisit lessons, projects, and resources anytime.
Elevate your career with this programme!
Flexible payment options available.