Boost your data analytics career by mastering generative AI skills! This specialization provides a comprehensive understanding of generative AI, equipping you with the knowledge to enhance data analysis workflows. No prior experience in AI is required.
Key Skills Acquired:
Recognizing real-world applications of generative AI.
Identifying the most popular generative AI models and tools.
Mastering prompt engineering concepts and techniques.
Understanding the ethical implications of generative AI in various industries.
Specialization Highlights:
- Introduction to Generative AI:
Overview of generative AI technologies and how they are transforming data analytics.
Examination of various generative AI models (e.g., GPT, DALL-E) and their functions across different media (text, image, audio, and video).
- Prompt Engineering:
Learn the fundamentals of prompt engineering to create effective prompts for generative models.
Understand prompt patterns, including zero-shot and few-shot techniques.
Explore tools for prompt engineering, such as IBM Watsonx, Prompt Lab, Spellbook, and Dust.
- Applications in Data Analytics:
Discover how generative AI can enhance data analytics processes and workflows in real-world scenarios.
Case studies demonstrating the application of generative AI in various industries, including healthcare and marketing.
- Hands-On Learning:
Engage in hands-on labs within the IBM Generative AI Classroom.
Practical projects allow you to generate text, images, and code using generative AI.
Take part in a capstone project where you apply your skills to analyze and draw insights from real data.
- Career Certificate:
- Earn a recognized career certificate from IBM, showcasing your expertise in generative AI and data analytics.
Who Should Enroll:
This specialization is ideal for:
Aspiring data analysts seeking to enhance their skill set.
Professionals looking to incorporate generative AI into their data-driven decision-making processes.
Individuals interested in understanding the ethical and practical aspects of generative AI applications.
Learning Outcomes:
By the end of this specialization, you will:
Have a deep understanding of generative AI tools and techniques.
Be able to generate meaningful insights from data using generative AI models.
Gain practical experience through hands-on labs and projects, preparing you for real-world challenges in data analytics.
Get Started:
To enroll in the “Generative AI for Data Analysts” specialization, visit: Generative AI for Data Analysts Specialization
Don’t miss the opportunity to advance your skills and career in the ever-evolving field of data analytics!