Welcome!

I hope you are well.

You’ll get the 64 best resources to master Artificial Intelligence in this email.

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Newsletters

1. Rundown AI: Get the rundown on the latest developments in AI before everyone else.
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2. Horizon AI: Learn from a Data Science and AI leader in 3-minute briefings on everything you need to know about AI and tech.
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3. Simple AI: Learn how to use AI agents to grow your career or business.
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4.  Veroneus Newsletter: Get powerful AI-powered business strategies and selected AI news.
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5. The AI Solopreneur: Get actionable AI workflows, prompts, and systems.
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There are more than 100 other AI newsletters but I won’t include them, since they just have similar content to the ones I’ve shared here.

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YouTube Channels

1. Matt Wolfe: He shares trending AI and tech updates and tutorials.
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2. AI Explained: He breaks down trending AI updates.
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3. Two Minute Papers: They breakdown their new tech discoveries.
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4. DeepLearning AI: Learn how to build a career in AI.
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5. howtoai: Get AI tools and tutorials.
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6. Curious Refuge: AI video + storytelling + film making
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7. Tao Prompts: AI video and art tutorials
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8. ZYTHI STUDIO: AI videos
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9. Deep Creations: AI photo and video editing
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10. Julian Goldie SEO: AI-powered blogging
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11. AI Guy: Get cutting-edge AI tips, tricks, and strategies.
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12. Grow with Kaz: Learn how to create faceless video content using AI.
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13. The AI Hustle: Learn how to build side hustles using AI.
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14. Liam Ottley: Learn how to build your AI service business like an AI automation agency.
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15. Liam Evans: Learn how to build smart business ecosystems using AI and automations.
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16. Connor Shorten: Get in-depth AI tutorials.
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17. All About AI: Learn how you can start to use Generative AI to help you with creative or other daily tasks.
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18. Fireship: Get code tutorials and tech news to help you ship your app faster.
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Paid Learning Programs

1. Rundown University: Access hundreds of AI use cases, daily tutorials, weekly workshops, and an exclusive network of AI early adopters.
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2. Ben’s Bites: Simple, bite-sized education designed to boost your AI knowledge.
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3. Learn Prompting: Learn how to effectively and safely use AI through research-based courses with real-world applications.
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4. Udacity’s AI Courses: Their School of Artificial Intelligence offers AI training and machine learning courses as well as programs focusing on deep learning, computer vision, natural language processing, and AI product management.
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5. Google’s Machine Learning and AI Training Program: Learn how to implement the latest machine learning and artificial intelligence technology by exploring training on Vertex AI, BigQuery, TensorFlow, Cloud Vision, Natural Language API, and more.
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6. Google’s AI Essentials: You’ll learn how to use generative AI tools to help speed up daily tasks, make more informed decisions, and develop new ideas and content.
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7. Amazon’s AI Courses: Build in-demand AI skills with courses, tutorials, and resources.
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8. Microsoft’s AI Engineer Learning Path: It helps you discover the tools and skills you need to become an AI engineer.
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9. Coursera’s AI Courses: Master artificial intelligence for advanced problem-solving. Learn about machine learning, neural networks, and AI applications from these courses.
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10. Introduction to Artificial Intelligence With Python By Harvard University: Learn to use machine learning in Python in this introductory course on artificial intelligence.
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11. Machine Learning Specialization by Stanford University: This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
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12. AI For Professionals: Learn today’s most valuable AI skills spending only 10 minutes every day.
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Podcasts

1. AI Podcast: It explores the impact of AI on the world around us by focusing on people and their success stories.
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2. AI in Business: Emerj, which is an artificial intelligence research company, runs a weekly podcast.
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3. Data Skeptic: It is a podcast centered on data science, machine learning, and artificial intelligence.
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4. AI Today: You get practical breakdowns of AI in business.
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5. Artificial Intelligence Podcast: This podcast helps to level up your AI/ ML knowledge.
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6. Talking Machines: It is one of the best AI podcasts for people interested in machine learning. Episodes cover topics including diversity in AI, responsibility, and labor considerations for businesses leveraging the latest tech.
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7. TWIML AI Podcast: You’ll love the episodes that dive deeper into how to use AI to automate tasks and data integrations that make your processes seamless.
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8. Voices in AI: The leading minds of today’s world talk about AI.
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9. Practical AI: This podcast features interviews with AI experts about the real-world applications of AI.
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Content Creators

1. Rowan Cheung: He shares latest AI updates.
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2. Madni Aghadi: He shares AI use cases.
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3. Robert Scoble: He knows everything going on in the AI world.
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4. Heather Cooper: She is good at generating AI art.
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5. LudovicCreator: He always shares some good AI art prompts.
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6. TechHalla: He teaches you about AI art really well.
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7. Ruben Hassid: He is a top voice on LinkedIn for folks who want to learn AI.
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8. Dirk Zee: He shares some cool cheatsheets to help you master AI.
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9. Shubham Saboo: He shares powerful AI tutorials.
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10. Rory Flynn: He is an expert at using Midjourney and generating AI art.
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Books

1. “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig: A comprehensive and authoritative textbook that covers the fundamental concepts and techniques of AI.

2. “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: An in-depth exploration of the theory and practice of deep learning, a powerful subset of machine learning.

3. “The Hundred-Page Machine Learning Book” by Andriy Burkov: A concise and accessible introduction to the core principles and algorithms of machine learning.

4. “Superintelligence: Paths, Dangers, Strategies” by Nick Bostrom: A thought-provoking examination of the potential risks and implications of advanced artificial intelligence.

5. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron: A practical guide to implementing machine learning techniques using popular Python libraries.

6. “The Master Algorithm” by Pedro Domingos: An exploration of the quest to find the “master algorithm” that can solve all machine learning problems.

7. “Artificial Intelligence in Practice” by Bernard Marr: A collection of case studies showcasing how AI is being applied in various industries and domains.

8. “Algorithms to Live By” by Brian Christian and Tom Griffiths: A fascinating look at how the algorithms used in computer science can be applied to everyday life.

9. “The Alignment Problem” by Brian Christian: An exploration of the challenges in aligning artificial intelligence systems with human values and goals.

10. “Life 3.0: Being Human in the Age of Artificial Intelligence” by Max Tegmark: A thought-provoking examination of the potential impact of advanced AI on the future of humanity.

I hope you’ve found a helpful resource here.

If not, please reply to this email and let me know what more resources I must include here.

Have a happy week!