Below are links to highly rated resources for experienced AI developers and programmers seeking advanced knowledge and practical usage of AI. The selection covers 7 YouTube channels/videos, 7 podcasts, 7 advanced articles/blogs, 7 TV programmes/documentaries, and 7 books—all checked for current accuracy and reliability.

YouTube Channels & Videos

• Dave Ebbelaar – Production-ready AI tutorials
• Yannic Kilcher – Paper reviews, technical deep-dives
• Google Cloud Tech – Applied AI engineering
• Krish Naik – Industry projects, ML deployment
• Marina Wyss – Courses for AI engineering, deployments
• IBM Technology – Enterprise and cloud AI
• Siraj Raval – Applied ML, deep learning, MLOps

Podcasts

• Lex Fridman Podcast – In-depth expert interviews
• Latent Space: The AI Engineer Podcast
• TWIML AI Podcast – Machine learning advances
• Practical AI
• Machine Learning Street Talk
• Dwarkesh Podcast
• The Robot Brains Podcastlinkedin+3

Advanced Written Articles & Blogs

• Towards Data Science – Tutorials, deployment guides
• MarkTechPost – Research news, enterprise AI
• Analytics Vidhya – Tutorials, applied solutions
• DigitalOcean: Top AI Blogs
• GitHub: Developer expertise and AI
• Pragmatic Engineer: Two Years of AI Tools
• McKinsey: Unleashing Developer Productivity with GenAIdigitalocean+3

TV Programmes & Documentaries

• AlphaGo – DeepMind documentary
• Do You Trust This Computer?
• NOVA: A.I. Revolution (PBS)
• The Age of A.I. (YouTube Playlist)
• Artificial Intelligence | 60 Minutes Full Episodes
• Crash Course: Artificial Intelligence (PBS)
• How Microsoft Developers Use AI in Real-World Codingyoutube+1youtube+1

Books (Advanced, Technical Focus)

• “Deep Learning” – Ian Goodfellow, Yoshua Bengio, Aaron Courville
• “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” – Aurélien Géron
• “You Look Like a Thing and I Love You” – Janelle Shane
• “The Hundred-Page Machine Learning Book” – Andriy Burkov
• “Grokking Deep Learning” – Andrew Trask
• “Designing Machine Learning Systems” – Chip Huyen
• “Reinforcement Learning: An Introduction” – Richard S. Sutton, Andrew G. Barto