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watsonx Code Assistant for Red Hat Ansible Lightspeed: Generative AI Training
This IBM Self-Paced Virtual Class (SPVC) includes: - PDF course guide available to attendee during and after course - Lab environment where students can work through demonstrations and exercises at...
Read MoreOverview
This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace
The idea of automating the generation of Ansible Playbook code with artificial intelligence (AI) stems from the challenges and bottlenecks often faced by developers who are tasked with traditional, manual creation of Playbooks. Developers and programmers must craft precise, error-free Playbooks which are potentially automating jobs across vast collections of assets or hardware. One of the benefits of automation is being able to perform such tasks at scale. Conversely, performing tasks at scale also poses one of the greatest risks of automation: that if things fail, they can fail rapidly and across vast swathes of the IT estate. It should come as no surprise, then, that authoring Playbooks often demands technical expertise and a deep understanding of the targeted systems and services which Ansible is to automate. IBM® watsonx Code Assistant- for Red Hat® Ansible® Lightspeed interprets natural language prompts from users about the code and tasks they wish to generate, which, in turn, are translated by AI models into the necessary Ansible Task code.Across 4 hours of self-paced learning, participants go hands-on with watsonx Code Assistant for Red Hat Ansible Lightspeed to learn skills that are necessary to demonstrate Ansible Playbook task creation.
Skills Gained
After completing this course, you will be able to:
- Build automation jobs.
- Customize recommendation models.
- Use the generative AI capabilities of watsonx Code Assistant for Red Hat Ansible Lightspeed
Who Can Benefit
This course is intended for data scientists, AI specialists, watsonx specialists, solution architects, and anyone that wants to learn more about watsonx Code Assistant for Red Hat Ansible Lightspeed.
Prerequisites
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Course Details
Course outline:
- Course introduction
- Unit 1 Generating code
- Exercise 1 Generating code
- Unit 2 Content source matching and post-processing
- Exercise 2: Content source matching and post-processing
- Unit 3 Task description tuning and model customization
- Exercise 3 Task description tuning and model customization
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Reviews
ExitCertified was a great. They gave me all the materials and information I needed ahead of time to prepare for the course.
I was very satisfied about how the course was organized. Sean Did a very good work
The training was good but needed the basic skills of maximo before getting deep in the configuration of it.
Labs and the study materials provided for Architecting on AWS course are very easy to understand and explains all the topics required to pass the Associate certification.
Good Course. We covered a lot of material in a short amount of time. This course had useful labs that built upon each other.
