🗓️ 2nd - 13th December 2024
🕓 07.00 PM – 10:00 PM (IST)
Gen AI and LLMs for Developers Masterclass
Gen AI and LLMs for Developers Masterclass
This intensive program equips developers with comprehensive understanding of Generative AI and Large Language Models (LLMs) with plenty Advance techniques like LLM Fine-tuning, Retrieval Augmented Generation (RAG) and many more.
*Based on feedback received from 200+ participants
- Retrieval-Augmented Generation (RAG)
- Challenges & Solutions in LLM Ops
- Generative AI development platforms
- Fine-tuning in pre-trained LLMs
Get Your Brochure
Entry Fee: 9999 INR inclusive GST. For group discounts call: +91 74831 75822
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Unlock Your True Potential by immersing in to the world of Generative AI​ & large language Models
Let’s drive into a learning journey to upskill and gain a competitive edge of Generative AI & LLMs. We are collaborating with industries and building a real-life use case to help you unlock transformative career growth in Generative AI & Large language Models
*Limited offer seats available. Claim yours now.​
Customer Reviews
PAYAL CHOPRA
EXCELLENT & VERY KNOWLEDGEABLE TEAM ! VERY GOOD SESSIONS ON NEW AGE TOOLS LIKE AI / GEN AI, ML & DL WHERE WE LEARNT A LOT ! THE BEST PART IS UNLIKE A LOT OF ONLINE COURSES, THIS TEAM IS VERY INTERACTIVE AND RESPONSIVE. LOVED THE 2 DAY SESSION !
ARIF MOHD
IT WAS INSIGHTS FULL AND EXCELLENT SESSION ARRANGED BY TEAM
HRADHA SELARKA
SESSION WAS REALLY GOOD.VERY INFORMATIVE. HISTORY AND EVOLUTION OF DL N LLM
HIMANSHU VAIDYA
QUITE INSIGHTFUL! NICELY COVERED CONCEPTS FROM AI TO LLM. AGE OF CONTENT FROM AI TO LLM
RAMESH KANAMARLAPUDI
COMPREHENSIVE SESSION... GLAD THAT I AM HERE
ASEEM KALIYA
WHAT WE LEARNT THE MOST CONTENT AND PRESENTATION SKILL
GANESH JAGNADE
IT WAS AN AWESOME EXPERIENCE ATTENDING THIS PROGRAM. THE TRAINER FOR BOTH DAY'S SESSION SPOKE ELOQUENTLY. THE TRAINING WAS SO INNOVATIVE, INFORMATIVE, AND INSTRUCTIVE, LINKING OUR MINDS TO IDEAS, POSSIBILITIES, AND UNFORESEEN CIRCUMSTANCES THAT WE FACE DAILY IN PROJECTS. FEW SIMPLE TIPS TO MAKE WORK EFFICIENT, LIKE EXCEL FORMULAS ETC. WERE REALLY SURPRISES HOW FAST IT CAN BE WITH THE HELP OF FEW STEPS IN AI. I ENJOYED IT A LOT, LOOKING FOR MORE SUCH TRAINING IN FUTURE.
Programme Overview
Gen AI & LLMs for Developers Masterclass is a transformative program designed to empower developers and senior-level executives.Through a comprehensive curriculum, participants will explore fundamentals of Deep Learning architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers, Generative AI in text generation, translation, and code completion and real-world case studies. Led by industry experts and AI thought leaders, this program offers invaluable insights to Master the art of Prompt Engineering and leveraging into Generative AI development platforms like Hugging Face and OpenAI API and gain a competitive edge in today’s rapidly evolving business landscape. Join us to unlock the transformative power of Generative AI for your business success.
Who is this Programme for?
- This program is designed for developers or anyone with varying backgrounds. While familiarity or basic level understanding with programming languages like Python & Graduate level understanding of Mathematics, data structures and algorithms are mandatory.
- The course will provide clear explanations and code examples to ensure accessibility for participants with diverse knowledge levels
- Leaders who want to scale AI and ML into their organizations and leverage its power for decision-making.
- Researchers seeking to understand projects related to AI disruption, look for new opportunities
Programme Highlights
24+ Hours of Live Learning with practical sessions
Generative AI in code completion.
Vector Databases for efficient document search
Fine-tuning with LLMs & advance techniques
Implement of Retrieval-Augmented Generation (RAG)
Unlimited Practical case studies
Delivered by Industry’s top 1% Faculty and Industry Experts
Projects & Research Assistance
Learning Outcomes
Prompts to control LLM outputs (fine-tuning, zero-shot, few-shot learning)
Fine-tuning and Prompt-based Fine-tuning (PEFT): Techniques for customizing LLM behaviour
Fine-tuning an LLM on a small dataset using a platform like Hugging Face
Addressing common challenges like time cutoffs, context limitations, and bias in fine-tuned/PEFTed LLMs.
Implementing toy document search system using a vector database and an open-source LLM
Understanding Retrieval Augmented Generation (RAG) models and their capabilities
Join our Gen AI Business Leaders Club
After successfully finishing the Gen AI & LLMs for Developers Masterclass, attendees are eligible to enrol in the Gen AI for Business Leaders Club. Membership fees of INR 5,000 + GST are completely waived off for participants, granting them access to the esteemed Gen AI for Business Leaders Club. The benefits include:
- Be part of a huge network with fellow leaders and build a community of practice.
- Time to time update on the new versions/tools/researches/projects
- Lifelong access to the recording of the webinar
- 10% group discount on the fee for referring participants (minimum group of Three)
Programme Modules
- Demystifying Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Natural Language Processing (NLP)
- Data Science(DS) - definitions, relationships, and real-world applications.
- Hands-on Session: Introduction to Python libraries like NumPy and Pandas for data manipulation (exercises provided)
- Artificial Neural Networks: Introduction to the structure, learning rules (perceptron), backpropagation of error, and training algorithms.
- Deep Learning Architectures: Convolutional Neural Networks (CNNs),Recurrent Neural Networks , (RNNs), Long Short-Term Memory (LSTM)
- Gated Recurrent Units (GRU), Generative Adversarial Networks (GANs), Transformers - Understanding their core functionalities and use cases.
- Hands-on Session 2: Building a simple neural network in TensorFlow or PyTorch (code examples provided)
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- Introduction to Generative AI: GPT series, LLMs, and their capabilities (text generation, translation, code completion).
- Prompt Engineering: Techniques for crafting effective prompts to control LLM outputs (fine-tuning, zero-shot, few-shot learning).
- Generative AI Development Platforms: Exploring popular platforms like Hugging Face, Antropic, Cohere, Stability AI, along with prominent LLM models like BERT and LaMDA (built on Transformers) - Understanding their functionalities and potential applications.
- Hands-on Session 3: Using a pre trained LLM (e.g., GPT-3) through OpenAI API for text generation tasks (code examples provided).
- Choosing the Right LLM: Understanding factors like task, data availability, and performance metrics for selecting an appropriate LLM.
- Fine-tuning and Prompt-based Fine-tuning (PEFT): Techniques for customising LLM behaviour to specific tasks (code examples provided).
- Hands-on Session 4: Fine-tuning an LLM on a small dataset using a platform like Hugging Face (practical exercise).
- Potential Issues & Solutions: Addressing common challenges like time cutoffs, context limitations, and bias in fine-tuned/PEFTed LLMs.
- Vector Databases: Introduction to vector databases and their role in efficient document search with LLMs.
- Hands-on Session 5: Implementing a toy document search system using a vector database (e.g., Weaviate or FAISS) and an open-source LLM (code examples provided).
- Introduction to RetrievalAugmented Generation (RAG): Understanding RAG models and their capabilities for relevant information retrieval and document summarization.
- Hands-on Session 6: Implementing a basic RAG model for document search and clustering using a pre-trained LLM (code examples provided).
- Module: Future of Generative AI: Trends, Challenges, Job Opportunities discussionÂ
- AssessmentÂ
- Certificate DistributionÂ