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Diploma in LLM Ops & Gen-AI

– For B.Tech, M.Tech, MBA, BSC or similar with coding/math background.

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Aug 1
Next Batch begins on Aug 1st. Application closes: July 20, 2024
12 m
6 + 6 months program. Time commitment needed 4-6 hrs per week
Get Unlimited placement support in this Career launcher program
Diploma in LLM Ops & Gen-AI fee: ₹ 96,600 Scholarship for underpriviledged*
Who Should Join?

Learn from Top Practitioners from the industry.

This intensive course equips you with the knowledge and tools to build and deploy cutting-edge Generative AI solutions for real-world language and vision tasks. Participants will master selecting and deploying appropriate Generative AI tools and industry-standard LLMOps (Large Language Model Operations) methodologies.

Career Changers

Anyone looking to transition into the high-demand field of LLM Ops and Generative AI can benefit from this Diploma program.

Tech Professionals

IT professionals aiming to upgrade their technical skills and stay relevant in the job market. Learn Prompt engineering and large language model operations.

Research and Academia

Academics and researchers interested in the latest advancements in AI technology and methodologies for educational and practical applications.

Tech Leaders and Managers

Leaders aiming to integrate Generative AI solutions into their organizational workflow and drive innovation.

Download the Program Brochure to know more

We will email you the PDF program brochure with curriculum and key benefits.

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Key Program Takeaways

Gain proficiency in selecting and deploying Generative AI tools and platforms, including LLMOps (Large Language Model Operations).

Work on real-world language and vision AI projects, enhancing practical skills and understanding of applied Generative AI.

Earn a Diploma certification from Learnpact & Microsoft, Google boosting your technical profile and career prospects.

Develop a competitive edge in the job market, positioning yourself for lucrative roles in AI and Prompt Engineering.

Who are your instructors?

Senior Industry experts with 10+ years of experience

From bold start-ups to big corporate names, your instructors have experience working with multi-million-dollar projects for clients to help them accelerate growth through AI.

Certifications Support

Get Certified from Global companies – Google, DeepLearningAI, Azure, NVDIA and more

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What our students are saying?

Diploma in LLP Ops & Generative AI (Coding Track)

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The Large Language Model(LLM) Operations and Generative AI Diploma program offers a comprehensive curriculum that covers foundational to advanced concepts in AI and prompt engineering. The course is designed to equip participants with the knowledge and tools necessary to build and deploy cutting-edge Generative AI solutions for real-world applications.

Whether you are an AI practitioner, tech leader, or professional looking to transition into the dynamic field of Generative AI, this program offers the skills and credentials to stay ahead in the rapidly evolving AI landscape.

Large Language Model(LLM) Operations and Generative AI

  • Introduction to Python and Programming
  • Python Data Types, Variables, Operators, Data Structures
  • Python Programming Constructs: Conditionals, Loops, Functions
  • UDFs, Best Coding Practices and Exception Handling
  • Python for Data Science and Pandas: Working with relational databases, Data Cleaning, Preprocessing, Analysis
  • Advanced Text Processing using Pandas
  • Basics of Linux: Commands, Setting up Local Environment

  • Overview of Generative AI:
    • Understanding Generative AI and its significance
    • Historical context and evolution
  • Large Language Models (LLMs):
    • Basics of LLMs and their applications
    • Introduction to models like GPT, Gemini, LLAMA etc.
  • Key Concepts:
    • Supervised vs. unsupervised learning
    • Reinforcement learning in AI
  • Tools and Technologies:
    • Overview of platforms and tools used in Generative AI

  • Introduction to Prompt Engineering:
    • Understanding prompts and their role in AI
    • Crafting effective prompts for various applications
  • Techniques and Best Practices:
    • Strategies for optimizing prompts
    • Common pitfalls and how to avoid them
  • Case Studies:
    • Real-world applications and success stories
    • Analysis of successful prompt engineering examples

  • LLMOps Fundamentals:
    • Introduction to LLMOps and its importance
    • Key components and workflows
  • Hands-on Training with Tools:
    • LangChain, OpenAI API
    • Azure OpenAI, Google Vertex AI, NVDIA
  • Best Practices:
    • Model deployment strategies
    • Monitoring and maintaining AI models

  • Operationalizing LLMs on Azure:
    • Azure for deploying and managing Large Language Models (LLMs).
    •  Deploying applications with Retrieval Augmented Generation (RAG)
    • Create and manage data pipelines and their lifecycle
    • Connect and work with message queues to manage data processing
    • Use vector, graph, and key/value databases for data storage at scale

  • Run local large language models
  • Fine-tune LLMs
  • Use open-source generative AI
  • Use Databricks for data engineering and ML workloads
  • Create and design ML pipelines
  • Use Llama and other local LLMs like Mixtral

  • In-Depth Exploration of Generative Models:
    • GANs, VAEs, and other advanced models
    • Applications in image, text, and audio generation
  • Ethical and Responsible AI:
    • Addressing biases in AI models
    • Ensuring ethical use of Generative AI
  • Emerging Trends:
    • Latest research and developments in Generative AI
    • Future directions and potential breakthroughs

  • Project Development:
    • Selecting a project topic related to language or vision AI
    • Defining project scope and objectives
  • Implementation:
    • Hands-on development and deployment
    • Utilizing tools and platforms covered in the course
  • Presentation and Review:
    • Presenting project outcomes
    • Receiving feedback from faculty and peers

  • Sector-Specific Applications:
    • Generative AI in manufacturing, FMCG, healthcare, finance, marketing, etc.
    • Case studies from leading organizations
  • Practical Challenges and Solutions:
    • Common challenges in deploying Generative AI
    • Solutions and best practices from industry leaders
  • Networking and Collaboration:
    • Building a professional network in the AI community
    • Collaborating with peers on industry-relevant projects

  • Image Generation for E-commerce: Develop a system using DALL-E and OpenAI API to automate high-quality product image generation from textual descriptions for e-commerce platforms.
  • Personalized Content Recommendation System: Create an AI-powered recommendation engine using GPT and LangChain to deliver personalized content recommendations across various media types.
  • Chatbot for Customer Support: Build a customer support chatbot using embeddings and Pinecone for semantic search over organization-specific data, enhancing user interaction efficiency.
  • Automated News Generation: Develop an AI system leveraging GPT and Copilot to automatically generate news articles based on trending topics and user preferences.
  • AI-Driven Creative Writing Assistant: Create a tool utilizing GPT and prompt engineering techniques to assist writers in generating creative content such as stories and poems, ensuring coherence and style.

  • Certification Process:
    • Requirements for obtaining certification
    • Evaluation criteria and feedback
  • Career Development:
    • Resume building and LinkedIn profile enhancement
    • Job search strategies and interview preparation
  • Job Placement:
    • Access to job alerts and career advancement opportunities
    • Networking with business and tech leaders
    • Portfolio showcase


Any graduate with Math/Coding background can apply

From mastering advanced AI models like GPT, Gemini, LLAMA and DALL-E to applying them in real-world scenarios, this program not only delves deep into theoretical foundations but also focuses on practical coding proficiency in Python.

Whether you aspire to lead AI initiatives, revolutionize creative processes, or enhance customer experiences, this Diploma program equips you with the knowledge and practical expertise to thrive in today’s fast growing AI landscape.

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