Certificate Program in Advanced LLM Development in Gen AI
The Certificate Program in Advanced LLM Development in Generative AI is a comprehensive, hands-on program designed to equip learners with the skills to build and deploy cutting-edge AI applications. Covering core tools such as LangChain, OpenAI, Hugging Face, and Amazon Bedrock, participants will develop real-world solutions including chatbots, Retrieval-Augmented Generation (RAG) architectures, and generative models. The curriculum spans 13 modules, from foundational LLM concepts to advanced topics like prompt engineering, zero-shot and few-shot learning, and fine-tuning large language models for specific tasks. Learners will also explore Google Gemini generative model implementation and build Company Policy Q&A chatbots using integrated stacks of LangChain, BedRock, and Streamlit. Ideal for aspiring AI developers and tech professionals, this certification delivers the knowledge and practical experience needed to excel in the rapidly evolving field of generative AI development.
Instructors:
TimesPro
English
Course Start Date:
Self-paced
Duration:
12 Hours
₹ 9,999
Overview
The Certificate Program in Advanced LLM Development in Generative AI offered by TimesPro is a practitioner-focused programme that provides learners with end-to-end expertise in building generative AI applications. The curriculum is anchored around industry-leading platforms including LangChain, OpenAI, Hugging Face, Amazon Bedrock, and Google Gemini, enabling participants to work with the most widely adopted tools in the AI ecosystem. Over 12 hours of structured, self-paced learning, participants progress from foundational LLM concepts to the construction of sophisticated AI-powered systems. The programme covers the complete development lifecycle: from understanding LLM parameters and prompt engineering principles to deploying chatbots and building Retrieval-Augmented Generation pipelines. Learners will also engage with practical scenarios such as creating a Company Policy Q&A chatbot using LangChain, Bedrock, and Streamlit, grounding theoretical knowledge in real-world application development. Designed for developers, data practitioners, and technology enthusiasts who wish to establish or advance their capabilities in generative AI, this certificate programme provides a focused, efficient pathway to mastery without requiring extensive prior AI expertise.
Why Artificial Intelligence?
Generative AI is transforming industries at an unprecedented pace, and professionals with hands-on LLM development skills are in extraordinary demand. This programme stands out because of its practical orientation: rather than theoretical overviews, every module is built around building and deploying real systems. Participants work directly with the same tools used by leading AI teams globally, including LangChain, Amazon Bedrock, Hugging Face Transformers, and OpenAI APIs. The curriculum covers the full spectrum of modern LLM development skills, from zero-shot and few-shot prompt engineering to fine-tuning models for domain-specific tasks. Unlike broader AI courses, this programme is laser-focused on the LLM development stack, ensuring learners acquire deep, actionable expertise rather than surface-level familiarity. The inclusion of Google Gemini implementation and RAG architecture development keeps the content aligned with the current state of the art. At an accessible price point and with fully self-paced delivery, it is an ideal choice for working professionals and students seeking to build a competitive edge in the AI job market quickly and affordably.
What does this course have to offer?
Key Highlights
12 hours of structured learning content Covers LangChain, OpenAI, Hugging Face, Amazon Bedrock, and Google Gemini Hands-on chatbot and RAG architecture development Prompt engineering and shot-learning techniques LLM fine-tuning with Hugging Face 13 comprehensive modules from fundamentals to advanced applications Industry-relevant use cases across two categories Self-paced format for flexible learning Certification upon successful completion
Interested in career outcomes and specializations?
Who is this programme for?
Aspiring AI and machine learning developers Software engineers looking to upskill in generative AI Data scientists seeking practical LLM development expertise Technology professionals exploring AI application development Students with programming backgrounds interested in generative AI careers
Minimum Eligibility
Basic understanding of Python programming Familiarity with machine learning concepts is beneficial Interest in AI and generative model development No prior LLM experience required
Not sure whether you qualify for this programme?
Who is the programme for?
Admission to the Certificate Program in Advanced LLM Development in Generative AI is open and straightforward, designed to remove barriers for motivated learners. The enrolment process involves selecting the course on the TimesPro platform, completing payment of the programme fee, and accessing the learning portal immediately thereafter. There are no formal entrance tests or interview stages for this certificate programme. Learners are expected to have a foundational understanding of Python and a general interest in AI development; however, no prior experience with large language models is required. The academic structure consists of 13 sequentially organised modules that build progressively from introductory LLM and LangChain concepts through to advanced topics such as fine-tuning and multi-platform integration. Learners complete modules at their own pace, attempt quizzes and assignments embedded within the curriculum, and receive a certificate upon successful completion of all programme requirements.
Selection process
How to apply?
Curriculum
The curriculum of the Certificate Program in Advanced LLM Development in Generative AI is structured across 13 modules that collectively provide a comprehensive journey through modern LLM development. The programme begins with the fundamentals of LangChain and OpenAI LLMs, establishing the conceptual and practical foundation for all subsequent learning. From there, learners progress into applied development, building chatbots using OpenAI and exploring open-source models via Hugging Face. Advanced modules introduce Retrieval-Augmented Generation architecture using LangChain and OpenAI, followed by an exploration of generative models on Amazon Bedrock. The curriculum then addresses LLM parameter understanding, prompt engineering principles, and the mechanics of zero-shot, single-shot, and few-shot learning. Later modules incorporate Google Gemini implementation, the integration of LangChain with Amazon Bedrock, and end-to-end chatbot projects using Streamlit. The programme culminates in a dedicated module on fine-tuning LLMs using Hugging Face, equipping learners with the advanced capability to customise foundation models for specific tasks and domains.
There are 13 semesters in this course
The programme opens with a five-part deep dive into LangChain and OpenAI LLMs, systematically introducing the frameworks, APIs, and integration patterns that form the backbone of modern LLM application development. Learners then move into building a functional chatbot using OpenAI, translating conceptual knowledge into a working conversational AI system. The third module introduces open-source alternatives through Hugging Face, broadening learners' toolkit beyond proprietary APIs. Module four covers the construction of a RAG architecture using LangChain and OpenAI, teaching learners how to ground generative responses in external knowledge sources for greater accuracy and relevance. Modules five through eight introduce Amazon Bedrock's generative model ecosystem, explain LLM model parameters and their practical implications, and provide thorough coverage of prompt engineering strategies including zero-shot, single-shot, and few-shot techniques implemented through LangChain. Module nine explores Google Gemini implementation, ensuring learners are conversant with the full range of leading generative platforms. Modules ten through twelve are integration-focused: connecting LangChain with Amazon Bedrock, building a Streamlit-powered chatbot using the combined LangChain-Bedrock stack, and developing a Company Policy Q&A chatbot that demonstrates enterprise-relevant application design. The final module is dedicated to fine-tuning LLMs using Hugging Face, covering the methodology for adapting pre-trained models to domain-specific requirements.
Introduction to LangChain & Open AI LLMs
Building ChatBot using Open AI
Open source model using hugging face
Building RAG Architecture using Langchain and Open AI
Introduction to generative models using Amazon BedRock
Understanding LLM model parameter
Introduction to Prompt engineering
Understanding Zero shot, Single shot and Few shot with Langchain
Google Gemini generative model implimentation
Connecting Langchain and Amazon BedRock
Building ChatBot using Langchain, BedRock and Streamlit
Building Company Policy Q&A chatBot using LangChain, BedRock & Streamlit
Fine-Tuning LLMs using Hugging Face
Programme Length
12 hours of self-paced learning content; complete at your own pace with no fixed schedule
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructor
TimesPro
TimesPro - an award-winning EdTech initiative of the Times Group.
TimesPro - an award-winning EdTech initiative of the Times Group. We believe in empowering learners like you to pave their own path to success. No matter what stage of career you are at, you can choose from our wide range of learning and career development solutions. Our education, training, counselling, and progressive programmes enable you to constantly evolve. Our mission is to help India transform into a knowledge economy by helping YOU - the future of the nation - to upskill, grow, and accelerate your career with the art of learning; because we believe that only when one learns, can one fulfil all their aspirations, whether personal or professional.
Tuition Fee
The Certificate Program in Advanced LLM Development in Generative AI is priced at Rs. 9,999 plus applicable taxes, representing an accessible investment for a focused, practical AI development certification. Payment is made as a one-time fee at the time of enrolment through TimesPro's official payment channels. The platform does not solicit payments outside its official channels, and learners are advised to make payments only through timespro.com or authorised representatives. For any payment queries or to verify authenticity, learners can contact TimesPro.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
Learning in the Certificate Program in Advanced LLM Development in Generative AI is entirely self-paced, allowing participants to engage with content on their own schedule without fixed deadlines or live session commitments. The programme is delivered through the TimesPro learning portal, which provides access to all 13 modules along with embedded quizzes and assignments that reinforce practical understanding. The curriculum is heavily project-oriented: learners build real systems — chatbots, RAG pipelines, and fine-tuned models — rather than passively consuming content. This hands-on methodology ensures that participants leave with demonstrable, portfolio-ready skills. The programme's 12-hour duration is designed to be intensive yet manageable, enabling focused skill acquisition without extended time commitments. On completing all modules and assessments, learners receive a TimesPro certificate validating their Generative AI development expertise.
University Experience
TimesPro is a professional education platform from the Times of India Group, one of India's most trusted media and education conglomerates. The platform partners with premier institutions including IIMs, IITs, XLRI, IISc Bangalore, and international universities such as Michigan State University, delivering programmes across technology, management, finance, and more. Learners on the TimesPro platform benefit from content designed in alignment with industry standards and access to a broad network of over 350 recruitment partners. The platform's curriculum design reflects the group's deep engagement with industry and academia, ensuring that certifications carry meaningful market recognition. TimesPro also provides learner support via a dedicated contact centre and maintains strict anti-fraud policies to protect the interests of its learner community.
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About the University
TimesPro, established in 2013, is a Higher EdTech platform by The Times Group focused on professional education in India. The institution offers diverse learning programs across early career courses, executive education, and enterprise solutions. Their programs span banking, finance, technology, analytics, and marketing sectors through partnerships with premier institutions like IIMs, IITs, and global universities
100,000+
alumni community
@210
course offerings
10*
streams
Affiliation & Recognition
XLRI
NSDC
Fitch learning
lincoln university
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructor
TimesPro
TimesPro - an award-winning EdTech initiative of the Times Group.
TimesPro - an award-winning EdTech initiative of the Times Group. We believe in empowering learners like you to pave their own path to success. No matter what stage of career you are at, you can choose from our wide range of learning and career development solutions. Our education, training, counselling, and progressive programmes enable you to constantly evolve. Our mission is to help India transform into a knowledge economy by helping YOU - the future of the nation - to upskill, grow, and accelerate your career with the art of learning; because we believe that only when one learns, can one fulfil all their aspirations, whether personal or professional.
Career services
TimesPro provides extensive career support through dedicated placement assistance and industry connections. The institution focuses on developing industry-ready professionals through practical training, skill development, and career guidance. Their placement cell offers comprehensive support including interview preparation, profile enhancement, and direct connections with leading employers. The career services team works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities for students. Students receive personalized mentoring, soft skills training, and industry-specific preparation to enhance their employability.
10LPA
highest package
3500+
hiring partners
90%+
placement rate
Top Recruiters
Course Start Date:
Self-paced
Duration:
12 Hours
₹ 9,999
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.