The AI Practitioner: Role & Responsibilities


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

AI Practitioner is a cross-industry advanced AI Developer position that has a growing demand in the modern world. Candidates for this role need to demonstrate proficiency in optimizing and tuning AI solutions to deliver the best possible performance in the real world. AI Practitioners require more advanced knowledge of algorithm implementations and should have a firm knowledge of latest toolsets available. In this course, you'll be introduced to the AI Practitioner role in the industry. You'll examine an AI Practitioner's skillset and responsibilities in relation to AI Developers, Data Scientists, and ML and AI Engineers. Finally, you'll learn about the scope of work for AI Practitioners, including their career opportunities and pathways.



Expected Duration (hours)
0.8

Lesson Objectives

The AI Practitioner: Role & Responsibilities

  • discover the key concepts covered in this course
  • describe the role of an AI Practitioner in a company and identify key responsibilities
  • specify the skillset needed to become an AI Practitioner and name commonly used tools
  • recognize the role of an AI Practitioner when developing AI products and their relationship with other developers
  • compare AI Practitioner to AI Developer and list fundamental differences in their workflows
  • compare AI Practitioner to Data Scientist/AI Scientist and list fundamental differences in their workflows
  • compare AI Practitioner to ML Engineer and list fundamental differences in their workflows
  • compare AI Practitioner to AI Engineer and list fundamental differences in their workflows
  • describe the mindset that needs to be adopted by an AI Practitioner to implement AI
  • identify the importance of research work for an AI Practitioner
  • describe the responsibilities of an AI Practitioner working in the data science domain and list the most important success factors
  • describe the responsibilities of an AI Practitioner working in the AI Industry and list the most important success factors to developing AI products
  • specify career paths and opportunities for an AI Practitioner, including multiple roles and responsibilities that lead to professional growth
  • summarize the key concepts covered in this course
  • Course Number:
    it_aiopracdj_01_enus

    Expertise Level
    Expert