Online Course – IBM Certified Professional Specialization in Generative AI for Data Analysts

Develop Generative AI skills for data analysis. Enhance your career as a data scientist with knowledge of Generative AI! No prior experience required.

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קורס אונליין - התמחות מקצועית מוסמכת ב-Generative AI for Data Analysts של IBM

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

  • Engineering prompts and real-world business uses.
  • Guidance techniques such as zero-shut and little-shut.
  • Tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.
  • Basic concepts and models of generative artificial intelligence, such as GPT, DALL-E, and IBM Watson Studio.
  • Ethical implications and challenges in the use of generative artificial intelligence.
  • Create text, images, and code using generative artificial intelligence.
  • Apply engineering techniques of guidelines and best practices.
  • Use generative AI models to analyze insights from survey data conducted by a healthcare consulting firm.

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Artificial Intelligence Engineer
  • Software developer
  • Digital Marketing Expert
  • Technology Consultant
  • Information Technology Project Manager
  • Graphic designer
  • Digital Content Developer
  • Business Analyst
  • Expert in Artificial Intelligence Ethics

Internship – 3-part course series

The demand for professionals with knowledge of artificial intelligence (AI) is growing. There is a revolution in how organizations make decisions based on generative AI data analysis. This specialization introduces real-world use cases for generative AI and popular models and tools for generating text, code, images, sound, and video.

What will you learn?

  • Engineering prompts and real-world business uses.
  • Guidance techniques such as zero-shut and little-shut.
  • Tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.
  • Basic concepts and models of generative artificial intelligence, such as GPT, DALL-E, and IBM Watson Studio.
  • Ethical implications and challenges in the use of generative artificial intelligence.

Practical labs

The hands-on labs in the course offer the opportunity to apply various tools in the IBM Generative Artificial Intelligence classroom. You will apply the concepts you have learned in a real-life project at the end of the course.

Course requirements

No prior experience is required to begin this internship, although it may be helpful to have some knowledge of data analytics.

Hands-on Learning Project

This internship includes a series of practical activities and projects. In these exercises, you will take the theory and skills you have acquired and practice them through practical scenarios.

  • Create text, images, and code using generative artificial intelligence.
  • Apply engineering techniques of guidelines and best practices.
  • Use generative AI models to analyze insights from survey data conducted by a healthcare consulting firm.

Details of the courses that make up the specialization

Generative Artificial Intelligence: Introduction and Applications

Course 1
6 hours
4.7 (1,221 ratings)

What will you learn?

  • Explain what generative artificial intelligence is and differentiate it from discriminative artificial intelligence.
  • Detail the capabilities of generative artificial intelligence and its real-world use case.
  • Identify the applications of generative artificial intelligence in various industries.
  • Explore common models and tools in generative artificial intelligence for generating text, code, images, audio, and video.

Skills you will acquire

  • Category: Artificial Intelligence (AI)
  • Category: ChatGPT
  • Category: Large Language Models (LLM)
  • Category: Natural Language Processing
  • Category: Generative Artificial Intelligence

Generative 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 generative artificial intelligence models.
  • Apply best practices for creating commands and explore examples of impactful commands.
  • Practice common generic techniques for command engineering and approaches to writing effective commands.
  • Search for commonly used command engineering tools to assist in command engineering.

Skills you will acquire

  • Category: Artificial Intelligence (AI)
  • Category: Command Engineering
  • Category: ChatGPT
  • Category: Command patterns
  • Category: Generative Artificial Intelligence

Generative Artificial Intelligence: Upgrade Your Data Analytics Career

Course 3
14 hours
4.7 (51 ratings)

What will you learn?

  • Explain how generative artificial intelligence tools and techniques can be used in the context of data analysis in various industries.
  • Implement various data analysis processes such as data preparation, analysis, visualization, and storytelling using generative artificial intelligence tools.
  • Evaluate real-world research cases that demonstrate the successful use of generative AI to generate meaningful insights.
  • Analyze the ethical considerations and challenges associated with the use of generative artificial intelligence in data analysis.

Skills you will acquire

  • Category: Data Analysis
  • Category: Database queries
  • Category: Data Extraction
  • Category: Generative Artificial Intelligence
  • Category: Data Augmentation

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