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You are probably in your position and wondering how you can upskill yourself with the new rise of generative ai. Well, don’t worry, the KDnuggets team has given you all that. The ai space is moving faster than we can blink, specifically generative ai.
Many of us use generative ai in our everyday, personal workflows. However, if you are interested in learning how you can improve your skills, use generative ai, and most importantly, feel like your job is not at risk, the best thing you can do is learn about it.
In this blog, I will discuss a variety of generative ai specialization courses for specific professions.
Generative artificial intelligence for data analysts
Link: Generative artificial intelligence for data analysts
The way organizations make decisions using generative ai is on the rise. Therefore, as a data analyst, it is your responsibility to understand how data analysis with generative ai can improve your organization.
In this specialization course offered by IBM, you will learn about real-world generative ai use cases and popular generative ai models and tools for text, code, image, audio, and video generation. You will delve into generative ai prompt engineering concepts, using prompting techniques such as zero-shot and few-shot, and explore various prompt engineering approaches and tools such as IBM Watson, Prompt Lab, Spellbook, and Dust.
You will then move on to enhance your knowledge by understanding the building blocks and fundamental models of generative ai, such as GPT, DALL-E, and IBM Watson Studio, along with the ethical implications, considerations, and challenges when using generative ai in different industries.
Generative artificial intelligence for cybersecurity
Link: Generative artificial intelligence for cybersecurity
I think cybersecurity doesn't get as much recognition as it should. They are the brains that are tasked with protecting an organization to ensure it can function effectively. As a cybersecurity professional, learning generative ai skills is essential to your daily toolkit.
In this specialization course offered by IBM, you will start by distinguishing the difference between generative ai and discriminative ai. Then, you will dive into real-world generative ai use cases and discover popular generative ai models. You will also delve into generative ai direction engineering concepts. Last but not least, you will learn the fundamental concepts of using generative ai for cybersecurity and how to apply generative ai techniques to real-world scenarios including UBEA, threat intelligence, report summarization, and playbooks, and assess their impact and vulnerabilities.
Generative ai for Data Engineers
Link: Generative ai for Data Engineers
As a data engineer, your roles and responsibilities revolve around the efficient collection, generation, transformation, and storage of data. With the help of Generative A, you can utilize tools that have the ability to make each of the data engineering tasks more efficient, effective, and convenient in an ETL workflow.
This IBM Specialization course is designed not just for data engineers, but for anyone who might be interested in using generative ai in data engineering. With three self-paced courses in the Specialization, you’ll start by learning the differences that distinguish generative ai from discriminative ai. You’ll dive deeper into real-world generative ai use cases and explore popular generative ai models and tools for text, code, image, audio, and video generation. Last but not least, learn about prompting techniques like zero-shot and few-shot and explore various prompt engineering approaches and explore commonly used prompt engineering tools such as IBM Watsonx, Prompt Lab, Spellbook, and Dust.
Generative artificial intelligence for software developers
Link: Generative artificial intelligence for software developers
As a software developer today, there is a lot you can take advantage of from this revolutionary generative ai technology, such as writing high-quality code with fewer bugs. Generative ai for software developers has been proven to increase their overall effectiveness and efficiency, making it an essential and must-have skill for software engineers.
This IBM specialization course is aimed at those working in the software development sector and are interested in leveraging the power of generative ai in their daily workflow. However, it is not just for software developers, it also includes web developers, mobile app developers, front-end developers, back-end developers, full stack developers, DevOps professionals, and site reliability engineers (SRE).
In this specialization, you will begin with the basics of generative ai, including its uses, models, and tools for text, code, image, audio, and video generation. You will move into prompt engineering, exploring various prompt engineering approaches and tools, including IBM Watsonx, Prompt Lab, Spellbook, and Dust.
Generative ai for Product Managers
Link: Generative ai for Product Managers
Do you need help creating, launching, and delivering your products to market? As a product manager, you can use generative ai to alleviate some of your tasks, whether it’s automating tasks or personalizing the user experience; generative ai can help with design and development in the product production process.
This IBM specialization will help product managers, whether new or experienced, become familiar with generative ai and gain insights into how to leverage this technology to their advantage. You’ll start by learning how to distinguish generative ai from discriminative ai, and then dive deeper into real-world generative ai use cases and explore popular generative ai models.
Next, you’ll master generative ai direction engineering concepts for real-world business uses. Learn direction techniques like zero-shot and few-shot, various direction engineering approaches, and tools including IBM Watsonx and Spellbook. Last but not least, you’ll explore specific generative ai techniques and processes that product managers can use to deliver better products in shorter timeframes.
Ending
5 different specialization courses for 5 different job roles. Although the content of these specialization courses is very similar, the main difference is how they are tailored to the specific job role, ensuring that you, as a learner, can make the most of them and apply them in your daily workflow.
Nisha Arya Nisha is a data scientist, freelance technical writer, and a KDnuggets community editor and manager. She is especially interested in providing advice or tutorials on careers in data science and theoretical knowledge about data science. Nisha covers a wide range of topics and wishes to explore the different ways in which artificial intelligence can benefit the longevity of human life. Nisha is an enthusiastic learner and is looking to expand her technological knowledge and writing skills while helping to mentor others.
