Learning Path 1 https://www.ibm.com/training/journey_description?journeyId=111
Learning Path 2 https://www.ibm.com/training/journey_description?journeyId=57
This intermediate level IBM Watson Developer is an individual who understands concepts essential to the development of applications using IBM Watson AI services. They have experience using IBM Watson AI services in an application regardless of where the service is provisioned. This individual is able to perform these tasks with little to no assistance from product documentation, support or peers.
During exam development, the Subject Matter Experts (SMEs) define all of the tasks, knowledge and experience that an individual would need in order to successfully fulfill their role with the product or solution. These are represented by the objectives below and the questions on the certification exam are based upon these objective.
1 General Watson & AI Concepts 25%
- Describe general machine learning concepts
- Describe the available Watson Services
- Summarize the pricing plans and their implications
- Choose the appropriate Watson Services to satisfy a use-case
- Describe how to evaluate the performance of a Watson service
- Describe how specific services integrate with key 3rd party technology
2 Watson Assistant Service 28%
- Describe the concepts of assistant, skill, dialog, entity, intent, slot, utterance, digression
- Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Assistant service
- Describe the training methodologies and training data formats for the Watson Assistant service
- Describe the different methods available for the Watson Assistant service
- Describe how to use the Metrics Overview page
- Define how Voice Agent can be used with Watson Assistant service
3 Watson Discovery Service 18%
- Describe the concepts of collection, documents, queries, projects and enrichments
- Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Discovery service
- Describe the basic elements of creating and using the Watson Discovery Service on IBM Cloud
- Describe the different methods available for the Watson Discovery service
- Explain how to use Watson Knowledge Studio to train Watson Discovery
4 Watson Speech Services 20%
- Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Speech services
- Describe the concepts web sockets, and HTTP interface
- Describe the training methodologies and training data formats for the Watson Speech services
- Describe the different methods available for the Watson Speech services
5 Watson Language Processing Services 9%
- Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Language Processing services
- Describe the training methodologies and training data formats for Watson Language services
- Describe the different methods available for the Watson Language Processing services
- Describe the Watson Natural Language Understanding concepts, methods and features
- Define the Tone categories for emotion and language