The AI Practitioner: Role & Responsibilities

Artificial Intelligence    |    Expert
  • 14 videos | 46m 29s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 41 users Rating 4.2 of 41 users (41)
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • 1m 37s
  • 3m 48s
    After completing this video, you will be able to describe the role of an AI Practitioner in a company and identify key responsibilities. FREE ACCESS
  • Locked
    3.  Skillset & Tools for AI Practitioner
    4m 9s
    After completing this video, you will be able to specify the skillset needed to become an AI Practitioner and name commonly used tools. FREE ACCESS
  • Locked
    4.  AI Practitioner in the Industry
    3m 38s
    Upon completion of this video, you will be able to recognize the role of an AI Practitioner when developing AI products and their relationship with other developers. FREE ACCESS
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    5.  AI Practitioner vs. AI Developer
    3m 45s
    In this video, find out how to compare the workflows of an AI Practitioner to an AI Developer. FREE ACCESS
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    6.  AI Practitioner vs. Data Scientist/AI Scientist
    3m 21s
    Find out how to compare an AI Practitioner to a Data Scientist/AI Scientist and list fundamental differences in their workflows. FREE ACCESS
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    7.  AI Practitioner vs. ML Engineer
    3m 12s
    In this video, you will compare the workflows of an AI Practitioner to that of an ML Engineer and list the fundamental differences between the two. FREE ACCESS
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    8.  AI Practitioner vs. AI Engineer
    3m 25s
    In this video, learn how to compare the workflows of an AI Practitioner to an AI Engineer. FREE ACCESS
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    9.  AI Practitioner Mindset
    3m 15s
    After completing this video, you will be able to describe the mindset that an AI Practitioner needs to adopt to implement AI. FREE ACCESS
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    10.  AI Practitioner & Research Work
    2m 58s
    In this video, learn how to identify the importance of research work for an AI Practitioner. FREE ACCESS
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    11.  AI Practitioners in the Data Science Domain
    4m 32s
    After completing this video, you will be able to describe the responsibilities of an AI Practitioner working in the data science domain and list the most important success factors. FREE ACCESS
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    12.  AI Practitioners in the AI Industry
    4m 2s
    After completing this video, you will be able to describe the responsibilities of an AI Practitioner working in the AI Industry and list the most important success factors for developing AI products. FREE ACCESS
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    13.  AI Practitioner Roles & Responsibilities
    3m 54s
    Upon completion of this video, you will be able to specify career paths and opportunities for an AI Practitioner, including multiple roles and responsibilities that lead to professional growth. FREE ACCESS
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    14.  Course Summary
    53s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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