Generative AI Training For Multiple Roles

SKU: 84155
13 Lesson
|
40 Hours
Become a master of Generative AI (Artificial Intelligence) for a promising career through igmGuru's interactive Generative AI training program. This program is exclusively intended for the Data Engineer, Data Validation Team, Enterprise Architect, and Business Intelligence team. Gen AI is a popular technology to learn and land a high-paying join in the AI domain. So, enrolling in our Generative AI course will be a great decision ever to advance your career. Our 40-hour training program following advanced study materials, practical sessions, and real-time projects help you build your foundation in AI technology. Get Job-ready through our Generative AI certification training and accelerate your career by enrolling now.

Generative Ai Course Overview

Generative AI is a subdivision of Artificial Intelligence (AI) that is widely used to create adaptable models and systems to create new content, such as text, images, music, or other forms of data. Generative AI, as opposed to standard AI systems, is intended to create new data that is not directly copied from samples that already exist. These systems are generally employed for tasks like classification or prediction.

In our Gen AI training program, you'll learn the fundamentals of Generative AI, cutting-edge techniques such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), and gain hands-on experience through practical projects. With the aim of making you proficient in cutting-edge technology (AI), our trainers follow agile methodology to deliver many career advantages. Our ChatGPT online Generative AI training course aims at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

Why You Should Learn Generative AI?

Learning Generative AI such as ChatGpt, opens doors to limitless creativity. With Generative AI, you can craft lifelike art, compose music, or even generate unique stories – all powered by AI. It's not just about technology, it's about unleashing your imagination. This skill is a game-changer for tech professionals, artists, and innovators alike. It equips you to innovate in healthcare, finance, and entertainment, transforming industries. Plus, it's a gateway to exciting career opportunities. In a world increasingly shaped by AI, Generative AI lets you create, innovate, and leave your mark on the future. So, why wait? Learn Generative AI and embark on a journey of endless possibilities.

Objectives

Here are the course objectives that will be covered during the live session to make you an expert in Gen AI:

  • Understand the fundamentals of ChatGpt, Generative AI and its applications.
  • Explore various Generative AI models, including GANs, VAEs, and more.
  • Learn how to generate images, text, music, and other forms of creative content.
  • Dive into real-world use cases of Generative AI across industries.
  • Gain hands-on experience through practical projects and labs.
  • Stay updated with the latest advancements and best practices in Generative AI.

Eligibility

Generative AI is becoming popular among IT enthusiasts due to its AI/ML capabilities. Anyone having basic knowledge of programming languages can enrol for the Generative AI online training course.

  • Data Scientists and Machine Learning Engineers looking to expand their skill set.
  • Software Developers interested in exploring the creative side of AI.
  • Creatives and Artists seeking to leverage AI for content generation.
  • Entrepreneurs and Innovators interested in AI-driven startups.
  • Anyone with a passion for artificial intelligence and creativity.

Pre-requisites

If you want to learn Gen AI, then you must have the knowledge of these-

  • Basic knowledge of machine learning and deep learning concepts.
  • Familiarity with Python programming language.
  • A computer with a stable internet connection for hands-on labs.

Backed by a team of skilled trainers, we provide customized training programs such as one-on-one training, self-paced training, and live classroom programs where you can attend dedicated classroom sessions, watch recorded videos, and directly interact with the trainers. This comprehensive Generative AI course by igmGuru is designed to empower you with the knowledge and skills needed to become proficient in this prominent technology.

Generative Ai Training Key Features

Generative Ai Training Modules

1. Introduction of NLP
2. Lexical,Syntactic and seamantic Processing
3. introduction of DL
4. Basics of ANN, Activation function, CNN

1. Introduction to Generative AI
2. Generative AI Applications
3. Understanding Probability and Statistics in Generative AI
4. Introduction to Generative Models
5. Deep Learning for Generative Models
6. Introduction to Generative Adversarial Networks (GANs)
7. Autoencoders
8. Transformers and Attention Mechanisms - "Attention is all you need".

1. GenAI for Data Engineer
2. GenAI for Data Validation team
3. GenAI for Enterprise Archtect
4. GenAI for Business Intelligence

1. Introduction to Large Language Models (LLMs)
2. Architecture of Large Language Models
3. Text AI LLMs (GPT-3, GPT-4, LaMDA, LLaMA, Stanford Alpaca, Google FLAN, Poe, Falcon LLM)
4. Image AI Models & Services (Midjourney, Stable Diffusion, ControlNet (SD))
5. Video AI Models (Runway - Gen 1 & 2, Kaiber, D-ID)
6. Audio AI Models (ElevenLabs)

1. Introduction to Prompt Engineering
2. Introduction to ChatGPT
3. Designing a prompt - The process and workflow
4. Avoiding prompt injections using delimiters
5. Defining constraints
6. Zero-shot Prompting
7. Few-shot Prompting
8. Persona Prompting
9. Chain of Thought
10. Adversial

1. Anomaly Detection
2. Data Imputation
3. Data Generation for Testing
4. Use case

1. Report genertion and summerization
2. Data Exploaration
3. Image and video analysis
4. Use case

1. Enterprise Architecture overview
2. Gen AI postioning within Enterprise Architecture
3. Attention Architecture
4. Transformer Architeture
5. End to End AI Model Architecture with GenAI
6. Day in life of Data Scientist

1. Data Quality Assessment
2. Pattern Matching and Validation
3. Entity Resolution and Deduplication
4. Data Transformation Validation
5. Use case

1. How to industrialize models and enable ModelOps
2. When and how to recalibrate,re-train,re-build models
3. Search Architecture
4. Chatbot Architecture
5. Domain specfic architectures

1. What is LangChain and when should you use it?
2. The LangChain Ecosystem
3. Supported LLMs
4. Case Study: Getting started with LangChain and OpenAI
5. Prompt composition and templates
6. Using multiple LLMs (Chains)
7. Working with Data loaders - Ingesting documents
8. Working with text splitters - Chunking Data
9. Working with Chains (Conversational Retrieval QA, Retrieval QA, Summarization, API etc.)
10. Working with Memory
11. Working with Embedding

1. OpenSource LLM-Overview
2. Other LLM Models(Cohere,AI21 etc)
3. Text AI LLMs (GPT-3, GPT-4, LaMDA, LLaMA, Stanford Alpaca, Google FLAN, Poe, Falcon LLM)
4. Image AI Models & Services (Midjourney, Stable Diffusion, ControlNet (SD))
5. Video AI Models (Runway - Gen 1 & 2, Kaiber, D-ID)
6. Audio AI Models (ElevenLabs)

1. When should retrain our LLM Model
2. Impact on environment
3. Biases and other ethical Issues
4. Copyrights and ownership
5. License types for models and its implications

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Generative Ai Course For Individuals

SELF PACED LEARNING

US $ 499.00
Refund Policy
  • Duration : 40 hrs
  • Lifetime Free Upgrade
  • Reference Documents
  • 24x7 Support & Access

Online Class Room Program

US $ 999.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced
Classes Starting From
  • Fast Track Batch 28 Jul 2024
  • Weekday Batch 29 Jul 2024
  • Weekend Batch 03 Aug 2024

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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GEN AI Online Training FAQ

The best way to learn Gen AI is by doing it. Enrolling in igmGuru’s Generative AI Training wll help you learn everything about its capabilities and using the right prompts to get accurate results. The better the prompts are, the lesser are the chances of a biased result.
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