From perceptrons to production. Course 2 of 4 in the AIBits Academy learning path.

Build neural networks in Python step by step, from a single perceptron to convolutional and sequence models. Every chapter opens with a real business problem, then covers real data, model building, evaluation, deployment, monitoring and drift detection, all on free Google Colab.

• Real business problems and real datasets, not toy examples
• Hands-on Python labs and quizzes in every chapter
• Built-in course assistant that answers doubts from the course's own chapters
• JD Report: paste a job description and get the exact chapters you need, plus resume customization

Explore this course on AIBits Academy