Artificial Intelligence (AI)

Conceptual Understanding:

Google AI Platform: Machine Learning Crash Course:

https://www.tensorflow.org/tutorials⁠

- This interactive course from Google AI demystifies core machine learning concepts, providing a solid foundation for understanding how AI works, paving the way for effective prototyping.

Fast.ai Practical Deep Learning for Coders:

https://course.fast.ai/⁠

- This practical course by fast.ai offers a hands-on approach to deep learning, a key technology used in AI, with resources specifically designed for coders.

MIT OpenCourseware: Introduction to Deep Learning:

https://ocw.mit.edu/courses/6-s191-introduction-to-deep-learning-january-iap-2020/⁠

- Gain in-depth knowledge of deep learning fundamentals from MIT's renowned OpenCourseware program. This resource provides a more theoretical foundation.

Prototyping Tools & Platforms:

Teachable Machine:

https://teachablemachine.withgoogle.com/⁠

- Designed for beginners, Teachable Machine allows you to create basic image classification models without coding. It's a great platform to experiment with AI concepts and visualize results.

Google AI Platform Notebooks:

https://colab.google/notebooks/⁠

- Colab Notebooks provide a free Jupyter Notebook environment with pre-installed libraries for machine learning and AI development. This allows you to experiment with code and build prototypes without extensive setup.

Amazon SageMaker:

https://aws.amazon.com/sagemaker/⁠

- AWS SageMaker offers a comprehensive platform for building, training, and deploying machine learning models. It features a visual interface for model building and simplifies the process for beginners.

AI Prototyping Tutorials & Case Studies:

Machine Learning Mastery: AI Prototyping Guide:

https://machinelearningmastery.com/⁠

- Explore this comprehensive guide that outlines the key steps involved in AI prototyping, offering valuable insights and best practices.

Stanford’s Human-Centered AI Course:

https://hai.stanford.edu/⁠

- Learn how to design AI systems that prioritize user needs and experiences. This course by Stanford explores ethical considerations and user-centered design principles in AI development.

AI Today Podcast:

https://podcasts.apple.com/us/podcast/ai-today-podcast-artificial-intelligence-insights-experts/id1279927057⁠

- Stay updated on the latest advancements in AI by listening to this informative podcast. Episodes often feature interviews with experts and case studies on innovative AI applications, sparking inspiration for your own prototyping journey.

Community & Collaboration:

Kaggle Competitions:

https://www.kaggle.com/⁠

- Kaggle is a vibrant online community for data scientists and machine learning enthusiasts. It hosts open competitions on various AI tasks, providing datasets and evaluation metrics. Participating in these competitions allows you to test your skills and learn from others' approaches to AI prototyping.

Conceptual Understanding:

Prototyping Tools & Platforms:

AI Prototyping Tutorials & Case Studies:

Community & Collaboration:

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