Are you ready to elevate your data engineering career and dive into the cutting-edge world of generative AI? Generative AI is revolutionizing data engineering by making tasks more efficient, effective, and convenient. Whether you are a seasoned data engineer or new to the field, being able to effectively use generative AI will set you apart in the job market.
IBM's Generative AI for Data Engineers Specialization on Coursera is the perfect launchpad for professionals eager to harness the transformative power of AI. Designed for Data Engineers, this flexible, self-paced program spans just 1 month with a commitment of only 4 hours per week. No prior generative AI experience is necessary, making it accessible to all data engineers. It is also tailored not just for data engineers, but for anyone interested in the intersection of AI and data engineering.
What You'll Learn
The Generative AI for Data Engineers Specialization offers a comprehensive curriculum that will arm you with the skills needed to recognize and use generative AI models and tools across various domains, including text, code, image, audio, and video. Here's a glimpse into what you'll master:
- Generative AI Applications: Identify real-world uses of generative AI and the models that drive them.
- Prompt Engineering: Learn to create effective, impactful prompts using common tools and techniques.
- Data Engineering Processes: Implement schema design, data generation, augmentation, and anonymization using generative AI tools.
- Case Study Evaluation: Analyze real-world examples of successful generative AI applications in ETL and data repositories.
This specialization will also significantly expand your skills toolkit with knowledge in several key areas:
- Convolutional Neural Networks
- Information Engineering
- Querying Databases
- Data Generation
- Generative AI Techniques
- Artificial Intelligence (AI) Fundamentals
- ChatGPT and Large Language Models (LLMs)
- Natural Language Generation
- Prompt Engineering Techniques
The specialization consists of three courses that cover key aspects of generative AI in data engineering:
- Understanding Generative vs. Discriminative AI: Learn the fundamental differences and delve into real-world use cases of generative AI.
- Exploring Generative AI Tools: Gain hands-on experience with popular tools for generating text, code, images, audio, and video.
- Mastering Prompt Engineering: Explore zero-shot and few-shot techniques, and familiarize yourself with tools like IBM watsonx, Prompt Lab, Spellbook, and Dust.
Applied Learning Projects
IBM emphasizes applied learning through hands-on activities and real-world inspired projects, ensuring that the theoretical knowledge gained is put to practical use. You will engage in labs that allow you to:
- Generate Text, Images, and Code: Use generative AI to create diverse content.
- Apply Prompt Engineering Techniques: Develop best practices for creating effective prompts.
- Design Data Workflows: Utilize generative AI tools to streamline and enhance data workflows.
Get Started Today!
Does learning how to harness the power of generative AI to boost your data engineering career appeal to you? Take the next step in your career by enrolling in IBM's Generative AI for Data Engineers Specialization on Coursera, your gateway to mastering generative AI and transforming how you approach data engineering. For a limited time, your first month of learning is free!
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Rav Ahuja, IBM Skills Network
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