Generative AI Course

What you will learn

Gain exposure to the latest AI advancements, such as generative AI, prompt engineering and ChatGPT

Dedicated live project-led training for crucial topics in generative AI

Requirements

High School Maths Basic Python knowledge

Description

|| About Generartive AI Training Course

You'll gain a solid foundation in the underlying theories and methods of generative AI. You will study cutting-edge subjects including deep learning, computer vision, natural language processing, and predictive analytics with our carefully chosen curriculum. You can use integrated labs to apply your skills to real-world projects because there is a strong emphasis on practical training. The curriculum is meant to give you the knowledge and abilities needed for a prosperous career in artificial intelligence.

Undoubtedly, generative AI has transformed the technology environment and opened up revolutionary use cases, such producing original content, writing programming, and accelerating customer support. Examples of these use cases are ChatGPT and Dolly. The uses of this technology are expanding every day. Future leaders and market differentiators will be the companies that successfully use this disruptive technology. This free on-demand course will bring you up to speed on generative AI.

Course Content

	Module-1 - Introduction to Artificial Intelligence and Machine Learning - Understanding Generative AI: An Overview - Mechanics of Generative AI - Difference between Discriminative and Generative Models

	Module 2 - Text-based Applications: Content generation, Language translation, and more - Image-based Applications: Image synthesis, Style transfer, and more - Video Generation: MAV by Meta, GEN-1, IMAGEN by Google - Audio Applications: Speech synthesis, Music generation, and more - Generative AI Ecosystem Understanding - ChatGPT, Azure OPEN AI, Google’s BARD, Hugging Face, llmanda, AutoGPT, Midjourney, LaMDA, LLaMA, Stable Diffusion DALLE-2 etc.

	Module 3 - Introduction to Prompt Engineering - The Art of Crafting Prompts: Principles, techniques & best practices - Type of Prompt Engineering - Zero shot, One Shot , Few shop prompts - Conceptual understanding - Tokens, Max Tokens, temparature - Chain of Thoughts understanding - Standard methods for formatting, summarizing, inferring prompts to get best results. - Conceptual understanding of RAG - Retrival augmented generation

	Module 4 - Getting started with the OpenAI/Azure Open AI Platform - Understanding of Models - Understanding temperature, token length, penalties, Top P etc. - Using the Playground - Getting started with the OpenAI API - Authentication and Access Keys - The Completions endpoint - The Chat Completion endpoint - Fine-tuning the model - Controlling Hallucinations - Azure Open AI Understanding - Azure Open AI Privacy, security , Integration with Azure Services etc.

	Module 5 - Understanding of Open source LLM ecossytem - Deep dive Meta Llama 2, Falcon etc. - Leveraging Models from Hugging face

	Module 6 - LangChain Ecosystem Deep dive - Langchain Concepts - Using multiple LLMs (Chains) - Working with Chains (Conversational Retrieval QA, Retrieval QA, Summarization, API etc.) - Working with Memory, Embeddings, Agents - Structured Data and Output Parsing Techniques - Working with Data loaders - Ingesting documents - Working with text splitters - Chunking Data - Understanding of LlamaIndex & its usage. Explore the capabilities in detail simliar to concepts in langchain - Understanding of Haystack & its usage . Explore the capabilities in detail simliar to concepts in langchain - Vector Databases Conceptual Understanding Working with Vector Databases (PineCone, fiass/chroma) Differences between them - Embedding Techniques (open ai embedding, sentence transformer embeeding to name few ... this has to be detailed) What is embedding techniques Various embedding model Capabilities and Benefits Embedding for image/text etc.

	Module 7 - How to leverage Generative AI to improve quality, productivity in software engineering - Github Copilot - Prompts for code generation - Prompts for Test case generation - Prompts for Code modernization/translation - Next Gen AI thinking to leverage Gen AI to its best of capability

	Module 8 - Role of Developers as consumers of Generative AI APIs. - API integration: How to connect and make requests to Generative AI services. - Building applications that leverage Generative AI outputs. - Session & Chat History management best practices - Framework for output validation & continuous prompts improvement cycle - Deployment Options and Best Practices - Open AI , Open source models etc.

	Module 9 - Concerns around Legal, privay, Security Concerns - Concerns around IP - Responsible AI - Enterprise Best Practices

	Module 10 - Practical Case study (using open ai & open source equivalent ) - Knowledge Management - Build a Q&A Chain ChatBot for a set of HTML/PDF documents. - Leveraging RAG - Domain specific Chat BOT - Finetuning of Models - Automate AI workflows with AutoGPT & LangChain - Use Midjourney/Dall e to generate stunning images from text - Document Insights extraction tool - Summary & entity extraction using Generative AI

	Module 11 - Solution Guidelines (Well-Architected principles) - Chat Session management - Open AI Model Finetuning - Standard Architectures for various usecases - How to provision security, privacy & transparency - Manage Token limitation - Deployment Standards – Cloud, on Prem - Private GPT Standards

Fees

Offline Training @ Vadodara

Classroom Based Training
Practical Based Training
No Cost EMI Option

~~55000~~ 50000

Online Training preferred

Live Virtual Classroom Training
1:1 Doubt Resolution Sessions
Recorded Live Lectures*
Flexible Schedule

~~50000~~ 45000

Corporate Training

Customized Learning
Onsite Based Corporate Training
Online Corporate Training
Certified Corporate Training

Certification

Upon the completion of the Classroom training, you will have an Offline exam that will help you prepare for the Professional certification exam and score top marks. The BIT Certification is awarded upon successfully completing an offline exam after reviewed by experts
Upon the completion of the training, you will have an online exam that will help you prepare for the Professional certification exam and score top marks. BIT Certification is awarded upon successfully completing an online exam after reviewed by experts.
This course is designed to solve different Artificial Intelligence Case studies. This certificate is very well recognized over 80 top MNCs from around the world and some of the Fortune 500 companies.

Generative AI

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