Basic understanding of Python and introductory ML concepts is recommended.The course starts with TensorFlow setup and simple models for ...
Covers model persistence (saving/loading) and deployment workflows.Demonstrates use of Keras models in cloud environments.Introduces best ...
Introduces CNNs for image recognition and basic RNN concepts.Hands-on labs allow practice with feedforward and convolutional networks....
Explains ML concepts and workflows in conceptual terms.Helps managers understand model design, training, and deployment processes.Supports ...
Focuses specifically on Keras API and high-level model building.Balances theory with hands-on lab-driven exercises.Emphasizes cloud-based ...
No prior experience is strictly required.Basic familiarity with HTTP, JSON, or XML is helpful.Introduces API concepts and Apigee platform ...
Focuses on API design, proxy creation, and developer portal usage.Basic security concepts are introduced, but in-depth security is in follow-on ...
Explains API lifecycle concepts in an accessible manner.Helps managers understand API strategy and productization.Supports communication ...
Labs use Qwiklabs integration for guided exercises.Students create API proxies, define endpoints, and manage policies.Demonstrates ...
Focuses specifically on Apigee and Google Cloud API lifecycle.Emphasizes API-first methodology and OpenAPI specs.Integrates hands-on labs ...
