[NEW] 2024- The Generative AI Lifecycle- A Primer

[NEW] 2024: The Generative AI Lifecycle: A Primer, available at $54.99, with 16 lectures.

You will learn about GEN AI lifecycle Model Selection Prompt Engineering Retrieval Augmented Generation (RAG) IN LLMs FINE TUNING of LLM Model Tools Agents Evaluation Metrics This course is ideal for individuals who are Tech managers or directors or ML Engineers or other tech leaders or Software Engineers or AI Developers or Data Scientists It is particularly useful for Tech managers or directors or ML Engineers or other tech leaders or Software Engineers or AI Developers or Data Scientists.

Enroll now: [NEW] 2024: The Generative AI Lifecycle: A Primer

Summary

Title: [NEW] 2024: The Generative AI Lifecycle: A Primer

Price: $54.99

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

GEN AI lifecycle

Model Selection

Prompt Engineering

Retrieval Augmented Generation (RAG) IN LLMs

FINE TUNING of LLM Model

Tools Agents

Evaluation Metrics

Who Should Attend

Tech managers

directors

ML Engineers

other tech leaders

Software Engineers

AI Developers

Data Scientists

Target Audiences

Tech managers

directors

ML Engineers

other tech leaders

Software Engineers

AI Developers

Data Scientists

Introduction

Generative AI has rapidly emerged as a transformative force, revolutionizing industries from content creation to drug discovery. At the heart of this revolution lie Large Language Models (LLMs), which have the potential to revolutionize how we interact with information and generate new content.

This course serves as a foundational introduction to the generative AI lifecycle, providing you with a comprehensive overview of the key stages involved in developing and deploying LLMs. By understanding the entire process, you’ll gain valuable insights into the challenges, opportunities, and best practices associated with generative AI.

Course Objectives

Gain a foundational understanding of the key stages in the generative AI lifecycle.

Explore the role of LLMs in driving innovation and problem-solving.

Learn about the importance of data quality and preprocessing in LLM development.

Understand the different techniques used to train and fine-tune LLMs.

Explore the role of evaluation metrics in assessing LLM performance.

Discover the potential applications of LLMs across various domains.

Course Structure

This course is designed to provide a concise overview of the generative AI lifecycle. Each lecture will introduce a key stage, providing you with essential information and context. For a more in-depth exploration of each topic, we recommend our comprehensive course, “Mastering Generative AI: From LLMs to Applications.”

Key Topics Covered

Introduction to Generative AI and LLMs

The Generative AI Lifecycle

Model Selection for Pre-trained models

Model Training and Fine-Tuning

Evaluation Metrics and Benchmarking

Applications of Generative AI

By completing this course, you’ll have a solid foundation in the generative AI lifecycle, enabling you to make informed decisions and effectively leverage LLMs in your work. We encourage you to explore our more advanced course, “Mastering Generative AI: From LLMs to Applications,” for a deeper dive into each topic and practical hands-on experience.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Gen-AI

Lecture 2: GEN-AI Lifecycle

Lecture 3: How to improve LLM responses

Lecture 4: Prompt Engineering

Lecture 5: Introduction to RAG -Retrieval Augmented Generation IN LLMs

Lecture 6: Introduction to Prompt tuning

Lecture 7: Quantization intuition challenges and need

Lecture 8: Fine Tuning Model Intuition

Lecture 9: Introduction to LLM Fine Tuning

Lecture 10: Evaluation Metrics Rouge Score

Lecture 11: BLEU Score

Lecture 12: Introduction to RLHF

Lecture 13: Evaluation Benchmarks : GLUE SUPER GLUE

Lecture 14: Evaluation Benchmarks : HELM

Lecture 15: Tools and Agents

Lecture 16: Loading your LLM using Langchain

Instructors

MG Analytics
Data Scientist and Professional Trainer

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!