Hello AI fans! Get ready for an incredible learning journey:
Partial release of AI Solutions on Cisco Infrastructure Essentials | The DCAIE Learning Path is now available at Cisco U. Free.
Since the CCDE exam topics were released, Cisco’s extensive community of subject matter experts and IT professionals have identified a comprehensive list of topics and skills needed to design and deploy AI on Cisco solutions.
This educational journey is your first step on that journey. Whether you’re a beginner or a seasoned pro, this is your chance to explore the world of AI and the basics of deploying, migrating, and operating AI solutions in Cisco’s data center infrastructure.
Out of the total five tracks, we have released a preview of tracks 1 and 2, which are now available on the free Cisco U tier.
Track 1: Basics of Artificial Intelligence
This track is your gateway to understanding the fundamentals of artificial intelligence. You will explore the fundamental concepts that define the landscape of artificial intelligence, from machine learning algorithms to neural networks.
We explore the applications of artificial intelligence and demonstrate how these technologies are transforming industries and solving real-world problems.
You’ll learn about the challenges of deploying AI solutions and discover optimization strategies to ensure your AI systems work effectively and efficiently.
At the end of Track 1, you will test your practical skills working with Jupyter Notebook, the essential tool for AI development.
Track 2: AI infrastructure requirements and compliance
In doing so, we focus on the backbone of AI solutions—infrastructure—and explore the core components needed to build and manage AI workloads in modern data centers.
You will test strategies for designing robust AI infrastructures that meet performance and scalability requirements.
We will also cover critical policies and governance frameworks to ensure compliance and secure management of AI systems. This track will conclude with a design-focused lab where you will make critical decisions to optimize Cisco for AI.
By the end of this journey, you’ll have the tools to handle AI infrastructure like a pro, paving the way for successful deployment and maintenance.
But wait, there’s more on the horizon!
Future tracks of AI
We are already hard at work developing tracks 3, 4 and 5. These upcoming tracks cover everything from AI network architectures and data management to the latest computing hardware and software.
They offer exciting hands-on lab experiences to help you tackle AI architecture challenges, including:
- Transition from traditional networks to cutting-edge AI/ML solutions
- Data movement, performance and provisioning
- Setting up AI clusters
- Deploying and scaling local GPT instances
This hands-on, hands-on experience will solidify your understanding and give you the expertise to build powerful AI solutions.
Here’s a bird’s-eye view of all five tracks:
Stay tuned for the full version of Learning Path and get ready to take your AI knowledge to new heights.
Let’s shape the future together
Unlock the full potential of AI solutions on Cisco infrastructure
AI Solutions on Cisco Infrastructure Essentials | DCAIE Learning Path
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