Description
A IBM Watson Developer is an individual who understands concepts essential to the development of applications using IBM Watson 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. Â
Key areas of competency :
a). IBM Watson AI services including Watson Assistant, Watson Discovery, Watson Speech to Text, Watson Text to Speech, and Watson Natural Language Understanding, Watson Tone Analyzer
b). Developing AI applications using IBM Watson AI services
c). Administering AI applications using IBM Watson AI services
d). Use cases of Artificial Intelligence and Machine Learning
Recommended Skills
a). Working knowledge of developing an application using IBM Watson AI services with emphasis on Watson Assistant, Watson Discovery,
b). Working knowledge of use cases using IBM Watson AI services
c). Working knowledge of AI concepts such as intent, relationships, entities
d). Working knowledge of core IBM Cloud services (monitoring, logging, scaling), and security
c). Basic knowledge of machine learning methods and technologies
1. General Watson and AI Concept :
a). Describe general machine learning concepts
b). Describe the available Watson Services
c). Summarize the pricing plans and their implications
d). Choose the appropriate Watson Services to satisfy a use-case
e). Describe how to evaluate the performance of a Watson service
f). Describe how specific services integrate with key 3rd party technology
2. Watson Assistant Service
a). Describe the concepts of assistant, skill, dialog, entity, intent, slot, utterance, digression
b). Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Assistant service
c). Describe the training methodologies and training data formats for the Watson Assistant service
d). Describe the different methods available for the Watson Assistant service
e). Describe how to use the Metrics Overview page
f). Define how Voice Agent can be used with Watson Assistant service
3. Watson Discovery service
a). Describe the concepts of collection, documents, queries, projects and enrichments
b). Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Discovery service
c). Describe the basic elements of creating and using the Watson Discovery Service on IBM Cloud
d). Describe the different methods available for the Watson Discovery service
e). Explain how to use Watson Knowledge Studio to train Watson Discovery
4. Watson Speech service
a). Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Speech services
b). Describe the concepts web sockets, and HTTP interface
c). Describe the training methodologies and training data formats for the Watson Speech services
d). Describe the different methods available for the Watson Speech services
5. Watson Language Processing Services
a). Define the processes related to authentication (includes access between services), service endpoint, error handling, data handling for the Watson Language Processing services
b). Describe the training methodologies and training data formats for Watson Language services
c). Describe the different methods available for the Watson Language Processing services
d). Describe the Watson Natural Language Understanding concepts, methods and features
e). Define the Tone categories for emotion and language
For more inputs on IBM Certified Developer : Watson v4 you can connect here.
Contact the L&D Specialist at Locus IT.
Locus Academy has more than a decade experience in delivering the training/staffing on IBM Certified Developer : Watson v4Â for corporates across the globe. The participants for the training/staffing on IBM Certified Developer : Watson v4Â are extremely satisfied and are able to implement the learnings in their on going projects.
