AI Framework Overview: AI Developer Role

AI Framework Overview: AI Developer Role

• discover the key concepts covered in this course
• describe the AI Developer's role in relation to the tech industry
• define the skillset and toolset knowledge required to become AI Developer
• specify the responsibilities of AI Developer in a company
• compare AI Developer with Software Engineer and list skillset differences
• compare AI Developer with Data/AI Scientist and list skillset differences
• compare AI Developer with ML Engineer and list skillset differences
• compare AI Developer with AI Engineer and list skillset differences
• describe the mindset needed to become an AI Developer and implement AI
• identify when research is done by AI Developers and specify the importance of research work in AI development
• describe the hierarchy of the AI Developer's roles in the data science domain
• describe role of AI Developer in different industries and AI companies
• describe future opportunities for AI Developer in terms of roles and responsibilities
• summarize the key concepts covered in this course

Any aspiring AI developer has to clearly understand the responsibilities and expectations when entering the industry in this role. AI Developers can come from various backgrounds, but there are clear distinctions between this role and others like Software Engineer, ML Engineer, Data Scientist, or AI Engineers. Therefore, any AI Developer candidate has to posses the required knowledge and demonstrate proficiency in certain areas.
In this course you will learn about the AI Developer role in the industry and compare the responsibilities of AI Developers with other engineers involved in AI development. After completing the course, you will recognize the mindset required to become a successful AI Developer and become aware of multiple paths for career progression and future opportunities

AI Framework Overview: Development Frameworks

AI Framework Overview: Development Frameworks

• discover the key concepts covered in this course
• describe AI Frameworks and their importance in the AI domain
• describe types of AI framework
• illustrate the importance of different frameworks in AI
• describe Microsoft CNTK in AI
• describe Keras in AI
• describe Spark in AI
• describe Amazon ML in AI
• compare Microsoft CNTK with other frameworks
• compare Keras with other frameworks
• compare Spark with other frameworks
• compare Amazon ML with other frameworks
• illustrate modeling flow using Microsoft CNTK
• illustrate modeling flow using Amazon SageMaker
• summarize the key concepts covered in this course

A working knowledge of multiple AI development frameworks is essential to AI developers. Depending on the particular focus, you may decide on a particular framework of your choice. However, various companies in the industry tend to use different frameworks in their products, so knowing the basics of each framework is quite helpful to the aspiring AI Developer.
In this course you will explore popular AI frameworks and identify key features and use cases. You will identify main differences between AI frameworks and work with Microsoft CNTK and Amazon SageMaker to implement model flow.