1. Build a Machine Learning Workflow with Keras TensorFlow 2.0
  2. Building a Full Stack App with React and Express
  3. Building Data Visualizations Using Matplotlib
  4. Building Deep Learning Models Using PyTorch
  5. Building End-to-end Machine Learning Workflows with Kubeflow
  6. Building Regression Models Using TensorFlow
  7. Building Scalable APIs with GraphQL
  8. Building Your First PyTorch Solution
  9. Demystifying Machine Learning Operations (MLOps)
  10. Deploying Containerized Applications
  11. Designing Hybrid Networks in AWS
  12. Docker for Web Developers
  13. Finding Relationships in Data with Python
  14. Foundations of Document Databases with MongoDB
  15. Getting Started with Tensorflow 2.0
  16. Introduction to MongoDB
  17. Kubernetes for Developers Moving from Docker Compose to Kubernetes
  18. Linux Administration with Ansible Advanced
  19. Matplotlib for Data Visualization and Python Getting Started
  20. Modeling with AWS Machine Learning
  21. MongoDB Administration
  22. MongoDB Change Streams Driving Real Time Events and Streaming Applications
  23. Pandas Playbook
  24. Predictive Analytics with PyTorch
  25. Productionalizing Data Pipelines with Apache Airflow
  26. Recommendation Systems with TensorFlow on
  27. Sequence Models for Time Series and Natural
  28. Using PyTorch in the Cloud PyTorch Playbook