Course Bundle: AI and Agentic AI
NEW LEARNING PATH
Master AI-powered platform engineering from strategy to autonomous agents
Two courses. One complete path. Go from understanding AI-native platform engineering to building and deploying autonomous agents that reason, adapt, and self-heal, all within real CI/CD pipelines.
86% report platform engineering is essential to realizing AI's business value
Why take both?
The first course gives you the strategic foundation. The second puts powerful tools in your hands.
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Start with the big picture
The AI in Platform Engineering course gives you the architectural and conceptual foundation, understanding what to build and why.
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Then go hands-on
The Agentic AI course takes you into the practical how, building real agentic workflows on top of that foundation.
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Two perspectives, one complete skill set
Together, the courses cover both the strategic and the technical sides of AI in platform engineering for all platform engineers, architects, and technical leads who want to understand AI from both a strategic and practical perspective, and be ready for what's coming next.
What you'll learn
16 modules across two courses. Strategy first, then hands-on, or take them independently at your own pace.
AI in Platform Engineering
CURRICULUM
Instructor Mallory Haigh
MODULE 1 The dawn of AI-native platform engineering
Navigate the "trust paradox" to align high AI adoption with user trust Differentiate between AI-enhanced platforms and platforms built for AI workloads Shift from manual configuration to AI orchestration and governanceMODULE 2 Platform fundamentals and AI as accelerator
AI in platform engineering principles and self-service adoption AI as 'Interface' vs. 'Capability' across the layers of an Internal Developer Platform The evolution of DevOps into autonomous, AI-native engineering environmentsMODULE 3 Transforming planning and code authoring
The shift in UX: Why AI is becoming the primary interface to empower intent-to-action Use AI agents to turn requirements into executable technical specifications Move from simple coding assistants to agentic coding Orchestrate multi-agent workflows for specialized autonomous software reviewsMODULE 4 Building intelligent and adaptive delivery flows
Enable advanced AI delivery using graph-based backends over linear pipelines Build & test - from "pass/fail" logs to "predict & heal" Enable intent-based releases triggered by natural language and failure predictionMODULE 5 Resilience & control: Managing day 2 operations
Democratizing access through conversational observability Operate & monitor - from "dashboard staring" to "conversational observability" Security & governance - continuous, automated complianceMODULE 6 Platforms for AI and ML workloads
The requirements of data and ML engineers as new platform user personas Balance specialized compute for model training versus high-availability inference Manage GPU and TPU resources efficiently within container orchestrationMODULE 7 Reference architectures for data and AI with focus on compliance
Discuss the blueprint for a modern AI/Data platform Secure the AI supply chain with rigorous model provenance and data privacy Monitor model drift and manage the high costs of tokens and GPU usageMODULE 8 The future of platform engineering roles
Transition from infrastructure operator to architect of a digital workforce Measure AI impact through improved velocity and DORA metrics Ensure ethical standards through human-in-the-loop platform designLive sessions
COHORT-BASED SESSIONS WITH THE INSTRUCTORAgentic AI in Platform Engineering
CURRICULUM
Instructor Ajay Chankramath
MODULE 1 Platform engineering pain points and the AI opportunity
The strategic role of platform engineering in the age of AI From static scripts and CI/CD automation to agentic AI See a live comparison of manual vs. AI-driven diagnosisMODULE 2 Agentic AI fundamentals - how agents reason and act?
Learn core agent components (LLMs, memory, and tools) Compare event-driven vs. polling architectures Balance autonomous actions with human oversightMODULE 3 Environment setup & your first agentic workflow
Set up an agentic runtime that responds to CI/CD events Connect an AI agent to your pipeline's event stream and context Trigger your first agent run and interpret its reasoning logsMODULE 4 AI-powered diagnosis and remediation
Compare manual vs. AI-driven incident diagnosis Build agents that read logs, reason about failures, and propose fixes Define escalation boundaries: when the agent self-heals vs. asks a humanMODULE 5 Intelligent CI/CD & adaptive delivery
Move beyond pass/fail pipelines to AI-driven release decision Automate rollback decisions using AI quality gates Query pipeline state and release history using natural languageMODULE 6 Operational intelligence & conversational observability
Replace complex dashboards with AI anomaly detection Check platform health via chat interfaces Shift from reactive alerts to predictive managementMODULE 7 Multi-agent coordination & implementation strategy
Architect multi-agent systems for complex platform workflows Handle agent conflicts, failures, and graceful degradation Design a phased enterprise rollout with guardrails and audit trailsMODULE 8 Build your platform engineering agent
Wire together diagnosis, quality gates, and observability into one agent pipeline Implement self-healing PRs with confidence thresholds Shift your role from platform operator to AI supervisorLive sessions
COHORT-BASED SESSIONS WITH THE INSTRUCTORAI BUNDLE
The complete AI platform engineering path
$1,900 $1,500 SAVE 20%
For those who want the complete, end-to-end path from building AI-ready platform foundations to deploying autonomous agents.
What you get
- Design IDPs that support LLMs, RAG patterns, and GPU orchestration
- Move beyond scripts to build autonomous agents using Claude Code
- Build intelligent SDLC automation incl. diagnostics for failed builds and infra remediation
- Deploy conversational observability with human-in-the-loop oversight
- Master governance and risk through security-by-design and audit trails for autonomous agents
Learn from AI platform experts
Mallory Haigh
Course Instructor and Platform Engineering SME
Teaches AI in Platform Engineering
Connect with me on LinkedIn
- Full-stack engineer by background (LAMP stack veteran + PHP lifer)
- Engineering management, customer success, product development
- Shares knowledge and resources at olivercodes.com
- Platform Engineering SME, course instructor, trainer, and coach
Ajay Chankramath
Founder, CEO @ Platformetrics
Teaches Agentic AI in Platform Engineering
Connect with me on LinkedIn
- Co-author of Effective Platform Engineering (Manning) and The Platform Engineer's Handbook (Packt)
- Expertise in Platform engineering, GenAI in software delivery, Developer experience optimization, SRE, DevOps
- 35+ years of experience in software development and delivery as a developer, architect and leader
- Regular keynote presenter, workshop educator at Platform Con, DevOpsDays, Kube Days, All Day DevOps, and the DevOps Enterprise Summit (ELTS)
What our alumni say
| Testimonials | |||||
| Name | Image | Position | Text | LinkedinPost | |
| Jay Moran |  |
SVP of Platform Engineering & Distinguished Engineer at Fiserv | I don’t often feel certifications are too useful, but in this case beyond being not vendor specific, I think this is one certification that really helps define a “Platform Engineer” versus someone who does some of the many components of what goes into platform engineering… | https://www.linkedin.com/in/jaycmoran/ | https://www.linkedin.com/posts/jaycmoran_platformasaproduct-idp-platformengineering-activity-7364777833262448641-ku7Z/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB7W6ucBwi1gPqF5QCBe36ipfkH_n4Cityo |
| Daniel Palermi |  |
Senior Cloud Engineer at Serko | The Platform Engineering Practitioner certification helped me understand the evolution of DevOps and engineering practices over the years. It clarified the concept of platform engineering and its true purpose. In my opinion, everyone working in an IT company should take this course, as it offers valuable lessons that span across all roles. |
https://www.linkedin.com/in/daniel-palermi-4a5b881b/ | |
| Brittany Lebel |  |
Senior Product Owner, Kinsale Insurance | The Platform Engineering course was a transformative addition to my career. The content was well-structured, covering everything from designing Platform Engineering Maturity Models to developing reference architectures that drive standardization and empower developers with seamless self-service capabilities. The hands-on lectures on Pocket IDP provided an in-depth exploration of the entire implementation process, diving into technical details and real-case scenarios. This comprehensive approach offered invaluable insights into how an IDP functions as a product and how it can efficiently support production workloads.Thanks to this course, I now have the expertise to contribute meaningfully to the development and enhancement of our Internal Developer Platform, enabling us to accelerate application delivery cycles.I highly recommend this course to anyone eager to elevate their engineering expertise and make a tangible impact in platform engineering! | https://www.linkedin.com/in/brittany-lebel/ | |
| Marc Schnitzius |  |
Service Lead Platform Engineering at Codecentric AG | The Platform Engineering Certified Practitioner course is a great guide for better understanding that the success of an internal developer platform is not just about making developers happy and shifting all their problems to a platform team. | https://www.linkedin.com/in/marc-schnitzius/ | |
| Rafael de Araujo Pires |  |
Global Director of Architecture at AB InBev | The Platform Engineering Practitioner certification was more than concepts. It was a reflection on my own platform journey since 2022.The biggest lesson? Platforms are about people. It’s about listening, building trust, and reducing friction so teams can deliver value with autonomy. It’s about connecting culture, product, and technology, and showing that developer satisfaction can be as strategic as any infrastructure investment.Platform engineering isn’t just code: it’s people, trust, and real business impact. | https://www.linkedin.com/in/rafaeldearaujop/ |
Ready to lead the AI-native era of platform engineering?
Start with the foundations. Build the agents. Transform your platform.
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Price
Option
$1,900 $1,500
