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AI Concepts for Tech Professionals (Video Course)

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AI Concepts for Tech Professionals (Video Course)

Online Video

Description

  • Copyright 2025
  • Edition: 1st
  • Online Video
  • ISBN-10: 0-13-545432-8
  • ISBN-13: 978-0-13-545432-9

Learn core AWS AI concepts and practical use cases.

  • Learn how to use AI and AI in AWS solutions
  • Explore foundation models, prompt engineering techniques, responsible AI, and security and compliance for AI workloads
  • Get quiz questions to validate your knowledge, acquire strategies, and embrace best practices

AI Concepts for Tech Professionals includes discussions of different types of machine learning, artificial intelligence, and business use cases for each. Get insights on responsible AI, including developing ethical systems and explainable models. Learn about security, compliance, governance, and methods to secure AI solutions. Each major topic will end with practice questions to test your knowledge.

Related Learning:

Skill Level:

  • Intermediate to advanced

Course requirement:

  • None

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Sample Content

Table of Contents

Module 1: Introduction to Artificial Intelligence

Lesson 1: Basic AI Concepts

Lesson 2: Practical Use Cases For AI

Module 2: Foundation Models

Lesson 3: Foundation Model Design

Lesson 4: Foundation Model Training, Performance, and Fine Tuning

Module 3: Generative AI

Lesson 5: Basic Concepts of Generative AI

Lesson 6: Generative AI Capabilities and Limitations

Lesson 7: Prompt Engineering

Module 4: AI/ML Workload Development

Lesson 8: ML Development Lifecycle

Lesson 9: Responsible AI System Development

Module 5: AI Safety and Security

Lesson 10: Transparent and Explainable AI Models

Lesson 11: AI Security

Lesson 12: AI Governance and Compliance

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