What is the most effective way to learn an AI framework?

Start with the end in mind. In AI development, the framework you start will be very time consuming and difficult to change later. So pick a tool that aligns with your experience and objectives. If you have experience, go with TensorFlow for more scalability. Just getting started? Build with Keras.

As a Chief AI Officer, it’s important to learn quickly. The way I do this is through structured courses as part of a self-made curriculum. This is the best way to tackle the fundamentals of any framework. There are plenty of free sources to learn from such as Coursera, UDemy, edX, Kaggle, and Youtube. For more details, check out official documentation.

As a startup CTO I know the importance of applying what you have learned in the real world. It’s not enough to just learn in isolation. This will improve your problem-solving and give you something to show. Again, Kaggle is a great resource when it comes to datasets. Search other resources to find public repositories that have collected data for you for free. A real project provides real understanding.

Joining communities to learn from other AI experts and practitioners is a great way to learn from those that have more knowledge and experience than you. Join communities online and find sources on Youtube. Continually exposing yourself to new information will guarantee valuable insights.

Don’t be afraid to get your hands dirty. Start writing code. It’s okay to make mistakes! Fields in programming have always had a welcoming community that will welcome you in. Answering any questions you have in forums or video comments. Try out different libraries, APIs, and tools to see how they affect your final result and performance.

For free AI tools and courses, visit my LinkedIn.