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Practical AI for Professionals

viaBig Blue Data Academy
No rating
Difficulty
Beginner
Cost
$750
Format
Instructor Led
Delivery
Online
Time Commitment
6 weeks 6 hrs/week

Summary

The AI Productivity for Professionals course provides a comprehensive, hands-on learning experience that equips professionals to use modern AI tools confidently and responsibly in everyday work—without requiring any coding or technical background. Delivered live online over 6 weeks, with two 3-hour instructor-led sessions each week, the course combines live demonstrations, guided practice, hands-on exercises, and real-world business use cases. Participants will develop practical skills in prompt engineering, AI-assisted writing, document workflows, research, productivity, automation, multimodal AI, and AI agents, while building reusable workflows they can immediately apply in their professional roles.

  • Before You Learn / Who This Course Is For
    • Business professionals, managers, marketers, educators, consultants, analysts, entrepreneurs, and team members
    • Ideal for anyone looking to improve productivity, communication, research, creativity, and workflow automation with AI
    • No coding, data science, or machine learning experience required
  • What to Expect
    • Live, instructor-led online sessions with practical demonstrations and guided exercises
    • Hands-on learning using leading AI tools including ChatGPT, Claude, Gemini, Canva, NotebookLM, Zapier, Make, and other AI productivity platforms
    • Real-world workplace scenarios focused on practical application rather than technical theory
    • Development of reusable prompts, workflows, and AI-assisted work practices throughout the course
  • What You'll Achieve
    • Confident use of modern AI tools for everyday professional tasks
    • Mastery of prompt engineering, AI-assisted writing, research, document analysis, and multimodal content creation
    • Ability to build simple AI-powered workflows and productivity automations
    • Understanding of responsible AI practices, including output verification, privacy, security, and effective AI workflow design

Certifications covered by this course

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