Online Course – IBM Certified Professional Internship in Generative AI for Data Scientists

Leap forward in data science with generative artificial intelligence. Gain practical, essential skills in the field in less than a month to advance your data science career.

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קורס אונליין - התמחות מקצועית מוסמכת ב-Generative AI for Data Scientists 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

  • The basics of generative artificial intelligence and its practical applications.
  • Principles and concepts of generative command engineering.
  • Common tools in the field include IBM Watsonx, Prompt Lab, Spellbook, and Dust.
  • Applying generative artificial intelligence tools and techniques during data science methodology.
  • Create text, images, and code using generative artificial intelligence.
  • Implementing techniques and best practices in command engineering.
  • Using generative models to create a predictive model for used vehicle sales prices.

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Artificial Intelligence Engineer
  • Scientific advisor
  • Software developer
  • Data Analyst
  • Generative Modeling Expert
  • Project Manager in the field of advanced technologies
  • Application developer using artificial intelligence
  • Researcher in the field of artificial intelligence
  • Data analysis specialist

Internship – Series of 3 courses

Generative AI knowledge is now a must-have skill in data science. According to Gartner, “by 2026, 20% of top data science teams will be renamed cognitive science or data consulting teams, increasing the skill set by 800%.”

Based on industry trends, IBM offers you this specialization to advance your career! This three-course specialization is designed to help you begin your journey in applying generative AI to data science.

What will you learn?

  • The basics of generative artificial intelligence and its practical applications.
  • Principles and concepts of generative command engineering.
  • Common tools in the field include IBM Watsonx, Prompt Lab, Spellbook, and Dust.
  • Applying generative artificial intelligence tools and techniques during data science methodology.

Boost your data science techniques with Generative AI! Enroll now and get the skills that will show your current employers and others that you are ready to effectively harness the powers of Generative AI.

Hands-on Learning Project

This internship emphasizes hands-on learning and includes a series of practical activities and projects. During these exercises, you will apply the theory and skills you have acquired and practice them with real-world scenarios.

Some of the practical activities and projects include:

  • Create text, images, and code using generative artificial intelligence.
  • Implementing techniques and best practices in command engineering.
  • Using generative models to create a predictive model for used vehicle sales prices.

Details of the courses that make up the specialization

Creative AI: Introduction and Applications

Course 1
6 hours
4.7 (1,221 ratings)

Course Details

What will you learn?

  • Describe creative AI and differentiate it from discriminating AI.
  • Describe the capabilities of creative AI and its real-world applications.
  • Identify the applications of creative AI in different fields and industries.
  • Explore common models and tools for creative AI to create text, code, image, audio, and video.

Skills you will acquire

  • Artificial Intelligence (AI)
  • ChatGPT
  • Large Language Models (LLM)
  • Natural language generation
  • Creative AI

Creative AI: Command Engineering Fundamentals

Course 2
7 hours
4.8 (1,889 ratings)

Course Details

What will you learn?

  • Explain the concept and relevance of command engineering in creative AI models.
  • Implement best practices for creating commands and research examples of effective commands.
  • Practice classic command engineering techniques and an approach to writing effective commands.
  • Explore commonly used command engineering tools to help with command engineering.

Skills you will acquire

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

Creative AI: Advancing Your Career in Data Science

Course 3
12 hours
4.7 (92 ratings)

Course Details

What will you learn?

  • Leverage creative AI tools, such as GPT 3.5, ChatCSV, and tomat.ai, available to data scientists for data querying and preparation.
  • Explore real-world scenarios where creative AI can improve data science side stages.
  • Practice creative AI skills in labs and hands-on projects by creating and growing datasets for specific uses.
  • Apply creative AI techniques in developing and improving machine learning models.

Skills you will acquire

  • Data Science
  • Data Analytics
  • Database queries
  • Data generation
  • Creative AI

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