Generative AI from Beginner to Paid Professional, Part 2

Generative AI from Beginner to Paid Professional, Part 2
Author :
Publisher : AB Publisher LLC
Total Pages : 169
Release :
ISBN-10 :
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Generative AI from Beginner to Paid Professional, Part 2 by : Bolakale Aremu

Download or read book Generative AI from Beginner to Paid Professional, Part 2 written by Bolakale Aremu and published by AB Publisher LLC. This book was released on 2024-11-09 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Future of Generative AI and Skyrocket Your Career. This book is your comprehensive roadmap from grasping the fundamentals of AI to mastering the tools and techniques that will set you apart in today’s AI-driven world. Perfect for anyone serious about a career in AI, this book bridges the gap between knowledge and action, giving you the tools to earn, build, and innovate with generative AI technologies. Whether you’re building your first AI project or refining your professional skills, this is the guide you’ve been waiting for. Packed with hands-on projects and practical exercises, this book empowers you to build and launch your very own generative AI solutions. By the end, you’ll not only be equipped with in-demand AI skills but also be prepared to launch your AI projects in the real world. Welcome to Generative AI from Beginner to Paid Professional, Part 2: Master Prompt Design, Gemini Multimodal in Vertex AI Studio, LangChain, Launching & Deploying Generative AI Projects. In Part 2 of this transformative guide, you'll delve deep into powerful AI frameworks and cutting-edge technologies, including Gemini Multimodal, Vertex AI Studio, and LangChain, gaining the expertise needed to design custom AI solutions and deploy scalable AI projects. Whether you’re an aspiring professional or a seasoned developer, this book is your step-by-step companion to navigating the evolving landscape of generative AI. What You’ll Learn: 1. Master Prompt Design: Craft perfect prompts that make your AI work for you, no matter the use case. 2. Gemini Multimodal & Vertex AI Studio: Learn to integrate multimodal models into your AI pipeline, revolutionizing how you build intelligent systems that understand and generate both text and images. 3. LangChain for Real-World AI Projects: Leverage LangChain to create robust, API-powered workflows that bring your AI projects to life. 4. Launching & Deploying AI Projects: From conceptualization to deployment, turn your AI ideas into real-world applications with proven strategies.


Generative AI from Beginner to Paid Professional, Part 2 Related Books

Generative AI from Beginner to Paid Professional, Part 2
Language: en
Pages: 169
Authors: Bolakale Aremu
Categories: Computers
Type: BOOK - Published: 2024-11-09 - Publisher: AB Publisher LLC

DOWNLOAD EBOOK

Unlock the Future of Generative AI and Skyrocket Your Career. This book is your comprehensive roadmap from grasping the fundamentals of AI to mastering the tool
Deep Learning for Coders with fastai and PyTorch
Language: en
Pages: 624
Authors: Jeremy Howard
Categories: Computers
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
Learning How to Learn
Language: en
Pages: 258
Authors: Barbara Oakley, PhD
Categories: Juvenile Nonfiction
Type: BOOK - Published: 2018-08-07 - Publisher: Penguin

DOWNLOAD EBOOK

A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Number
Artificial Intelligence Basics
Language: en
Pages: 195
Authors: Tom Taulli
Categories: Computers
Type: BOOK - Published: 2019-08-01 - Publisher: Apress

DOWNLOAD EBOOK

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are
The Principles of Deep Learning Theory
Language: en
Pages: 473
Authors: Daniel A. Roberts
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.