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Udemy - Practical Ai Foundations - OneDDL - 12-31-2024
![[Image: 8d0840e7ec9a7b495fd682f56d77013c.jpeg]](https://i124.fastpic.org/big/2024/1220/3c/8d0840e7ec9a7b495fd682f56d77013c.jpeg)
Free Download Udemy - Practical Ai Foundations
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.34 GB | Duration: 2h 35m
Master AI fundamentals and extract real business value while avoiding common pitfalls - no hype, just practical skills.
What you'll learn
Understand AI intuitively - learn how Large Language Models really work under the hood, without needing a math PhD, to avoid common pitfalls and risks.
Extract real business value from AI by learning to write effective prompts grounded in the technology, not social media "one weird tricks."
Master content synthesis and image generation techniques that produce high-quality outputs while avoiding AI Slop and the instagramification effect.
Develop sustainable AI workplace skills through practical use cases, expert roles, and workflows that raise productivity without compromising quality.
Requirements
No technical background needed - just a desire to understand AI practically. We focus on making complex concepts accessible while avoiding oversimplification.
Description
Practical:AI Foundations bridges the critical gap between social media's oversimplified "one weird trick" videos and dense technical documentation. This workshop delivers hands-on, practical AI skills grounded in real workplace experience and technical understanding.Unlike other courses that focus on an overwhelming array of tools and surface-level tricks, Foundations provides a clear framework for understanding AI's capabilities and limitations. You'll learn how to extract genuine business value while avoiding the common traps of AI "slop," bias, and hallucination.Our approach is unique - starting with the Intro & Theory module that helps create a shared understanding of AI across your team. We then build on this foundation with practical modules covering Prompt Engineering, Image Generation, and concrete Use Cases that you can immediately apply to your daily workflows.The workshop is delivered by Practical:AI, combining the expertise of a former Solution Architect and startup founder with a digital literacy educator's 20 years of AI experience and making complex topics accessible. This ensures you get both technical depth and clear, practical instruction.What sets Foundations apart:Focus on understanding AI intuitively rather than memorizing promptsClear framework for identifying and managing AI risksWorkplace-focused use cases tested in real business environmentsWhether you're looking to supercharge your individual productivity or guide your team's AI adoption, Foundations provides the missing middle ground between hype and technical complexity. Join us to learn how to use AI as a practical tool that raises the floor while you focus on raising the bar.
Overview
Section 1: Intro and Theory
Lecture 1 Introduction
Lecture 2 SCEPTIC - Is Artificial Intelligence real?
Lecture 3 THEORY - How does AI work?
Lecture 4 DEEPDIVE - How does AI *really* work?
Lecture 5 RISK - Risks and Challenges
Lecture 6 STRATEGY - Strategy & Opportunities
Section 2: Prompt Engineering
Lecture 7 PROMPT - What are the vital components of a prompt?
Lecture 8 TOKEN - The currency of LLMs
Lecture 9 ARROW - What is the Latent Space?
Lecture 10 RCCT - Prompt Frameworks
Lecture 11 DEEPDIVE - Measuring AIs cognitive limits
Section 3: Image Generation
Lecture 12 MODEL - Image model recommendations
Lecture 13 FRAME - Effective image composition
Lecture 14 DEEPDIVE - How do image models work?
Section 4: Prompts, Risks and Use Cases
Lecture 15 AVOID - Prompts to avoid
Lecture 16 CONTENT - How to create high quality content
Lecture 17 IMAGE - Graphic design and visual prompts
Lecture 18 EXPERT - Specialist roles and expertise prompts
Lecture 19 TOOLBOX - Helper tools, workflows & tips
This course is for professionals who want to seriously integrate AI into their workflows, moving beyond social media hype to develop grounded, practical skills. The key differentiators I've emphasized: Focus on understanding how AI actually works vs just providing lists of prompts Emphasis on sustainable business value vs quick tricks Quality-focused approach that actively addresses risks and pitfalls Practical workplace orientation rather than general AI exploration Grounded technical knowledge made accessible This positions the course as a more serious, professionally-oriented offering compared to the competitor's broader, more general-purpose approach. Let me know if you would like me to modify any of these responses further.
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