Online Course – Certified Professional Internship in Generative Artificial Intelligence Analysis for Data Analytics at Google, IBM

Discover the potential of generative AI in BI. Learn how you can use generative AI capabilities and tools to advance your career in business intelligence.

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קורס אונליין - התמחות מקצועית מוסמכת באנליזת בינה מלאכותית גנרטיבית עבור נתחי נתונים ב-Google

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding the key concepts and capabilities of generative artificial intelligence
  • Command engineering techniques to optimize results
  • Practical skills in using generative artificial intelligence for various BI use cases
  • Data analysis, synthetic data generation, and data cleaning with generative artificial intelligence
  • Familiarity with generative artificial intelligence tools such as ChatGPT and Microsoft Copilot
  • Text creation using generative artificial intelligence
  • Experiment with commands
  • The Chain of Thought Approach in Command Engineering
  • Data creation and data cleansing
  • Database and document queries
  • Data visualization with artificial intelligence tools

What you will learn in the course

Courses for which the course is suitable

  • Business Intelligence (BI) Analyst
  • Data Analyst
  • Artificial Intelligence Developer
  • Data Engineer
  • Data Management Specialist
  • Artificial Intelligence Project Manager
  • Technology consultant in the field of artificial intelligence
  • BI Solutions Developer
  • Data visualization expert
  • Command key for artificial intelligence

Internship – 3-part course series

Are you a business intelligence (BI) analyst or looking to start your career in this field? This specialization can help you advance your career with the power of generative artificial intelligence.

Internship structure

  • The specialization includes three short, self-paced courses, each requiring 4–6 hours to complete.
  • Discover the key concepts and capabilities of generative artificial intelligence.
  • Learn command engineering techniques to optimize results.
  • Acquire practical skills in using generative artificial intelligence for various BI use cases.
  • Learn how generative AI supports data analysis, synthetic data generation, and data cleansing.
  • Discover generative AI tools like ChatGPT and Microsoft Copilot.

Practical labs and projects

Midway through the internship, you will complete hands-on labs and projects to gain practical experience using generative artificial intelligence.

Samples from the laboratories

  • Text creation using generative artificial intelligence
  • Experiment with commands
  • The Chain of Thought Approach in Command Engineering
  • Data creation and data cleansing
  • Database and document queries
  • Data visualization with artificial intelligence tools

You will hear from experts about their insights regarding the various concepts taught in the courses.

Details of the courses that make up the specialization

Creative Artificial Intelligence: Introduction and Applications

Course 1
6 hours
4.7 (1,221 ratings)

What will you learn?

  • Describe creative artificial intelligence and distinguish it from discriminating artificial intelligence.
  • Describe the capabilities of creative artificial intelligence and its real-world applications.
  • Identify the applications of creative artificial intelligence in a variety of fields and industries.
  • Explore common creative artificial intelligence models and tools for creating text, code, images, audio, and video.

Skills you will gain

  • Artificial Intelligence (AI)
  • ChatGPT
  • Large Language Models (LLM)
  • Natural language creation
  • Creative artificial intelligence

Creative Artificial Intelligence: Fundamentals of Command Engineering

Course 2
7 hours
4.8 (1,889 ratings)

What will you learn?

  • Explain the concept and relevance of command engineering in creative artificial intelligence models.
  • Apply best practices for creating commands and explore examples of impactful commands.
  • Practice common command engineering techniques and approaches for writing effective commands.
  • Explore commonly used tools in command engineering that can help with command engineering.

Skills you will gain

  • Artificial Intelligence (AI)
  • Command engineering
  • ChatGPT
  • Command patterns
  • Creative artificial intelligence

Creative Artificial Intelligence: Advance Your Career in Business Intelligence

Course 3
10 hours

What will you learn?

  • Explain the role of creative AI at each stage of the business intelligence lifecycle.
  • Use creative artificial intelligence to improve the handling and analysis of data in business intelligence.
  • Leverage creative AI-powered tools to improve data visualization and reporting in business intelligence.
  • Discuss ethical considerations and challenges in implementing creative artificial intelligence in business intelligence.

Skills you will gain

  • Creative artificial intelligence
  • Data visualization
  • Business intelligence
  • Data Analytics
  • artificial intelligence

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