Platform Engineering & AI Courses
Build your foundation in Platform Engineering. Then architect AI systems at scale.
80% of engineers will need AI skills by 2027 — Gartner
I'm Ready to JoinIs Your Skillset Keeping Up with the Industry?
Dear Aspiring Platform Engineer,
You've built a strong career as a network engineer, sysadmin, or DevOps professional—but now, the landscape is shifting dramatically.
With the rise of AI systems, LLMs, and MLOps, the role of platform engineering is evolving. 80% of engineers will need AI skills by 2027 (Gartner). The question isn't whether to learn AI—it's how fast you can make the transition.
90% of organizations now use AI, but only 9% have the talent to run it effectively. That gap is your opportunity.
According to Gartner, by 2026, 80% of software engineering organizations will establish platform teams to provide reusable services, components, and tools for application delivery—up from just 45% in 2022.
Platform engineering is no longer optional; it's becoming the foundation of modern software development.
At TeKanAid Academy, we're here to make that transition smoother. Our platform engineering courses are designed to bridge the gap between where you are now and where you need to be.
You don't have to do this alone. Come join our community.
Platform Engineer's Salary
The salary gap is widening between Platform Engineers and DevOps Engineers. This picture was taken from Results are in: the 2023 platform engineering survey
Platform Engineers' Area of Focus
Kubernetes, Terraform, and CI/CD Pipelines remain the area of focus for Platform Engineers. This picture was also taken from Results are in: the 2023 platform engineering survey
Benefits of Learning with Us
Interactive Learning
- Hands-On Labs: Our courses include interactive, hands-on labs designed to help you learn by doing. This way, you're not just passively consuming content—you're actively applying your knowledge.
- Live Q&A Sessions: Engage directly with instructors during live Q&A sessions, where you can clarify doubts, get personalized guidance, and deepen your understanding of complex concepts.
- Community Engagement: Learning is better together. Join a community of like-minded professionals where you can collaborate, share insights, and support each other's growth.
Industry-Relevant Curriculum
- Up-to-Date Content: Our curriculum is always current with the latest tools and best practices in platform engineering, ensuring you stay at the forefront of the industry.
- Expert Instructors: Courses are taught by industry professionals who have real-world experience, giving you insights that are directly applicable to your work.
- Real-World Projects: Apply what you learn through projects that mirror actual challenges in the industry, making you job-ready from day one.
Career Development
- Proven Expertise: Gain skills directly applicable and valued by employers, helping you stand out in a competitive job market.
- Career Advancement: The knowledge you gain from TeKanAid Academy can help you advance in your career, whether securing a promotion, a new role, or simply gaining the confidence to lead projects.
- Peer Collaboration: Engage in discussions and learn from others' experiences. Collaborating with like-minded professionals helps deepen your understanding and makes learning more effective.
Testimonials
“You have built a phenomenal platform for learning and upskilling. I especially like how you've constructed the individual lessons, highlighting real-world scenarios with a focus on hands-on skills. The labs are phenomenal – every task has a long tutorial with lots of explanations, gotchas, and recaps.”
“I just completed the Crossplane 101 course! Managing infrastructure as Kubernetes resources is a total game-changer. A huge thanks to TeKanAid and Sam Gabrail for the incredible training and insights.”
“Although I've worked with Crossplane in real production environments, I always felt there were gaps in my understanding. Completing this course filled those gaps perfectly. I had to unlearn and relearn quite a few things, especially around Crossplane v2.0 concepts. Well structured and thoughtfully put together. Highly recommended for building a strong, foundational understanding of Crossplane.”
“I want to thank you for such wonderful courses. They are more comprehensive than other courses I have taken in the past. You take the time to explain every detail of the code and what it does exactly, further enforcing your student's understanding and confidence in what they are learning.”
“Dear Sam, I hope this email finds you well. If you remember before the end of last year I register for one your courses Terraform 101. I must admit that I learned a lot. The main reason of this email, to send you my gratitude for the content you created and to let you know that I passed my exam/test last week.”
“Excellent course, recommend for anyone planning to use Vault in the future. Clear explanations from the author help to understand the concepts well. I had no experience with Vault, but with the help of this course, I was able to deploy Vault in a production environment.”
All Bootcamps (3)
AI Platform Engineering Bootcamp
An 8-week intensive program designed to transition Platform Engineers into AI Platform Engineering and LLMOps roles. Build production-ready AI systems using LLMs, RAG, agents, and MLOps practices on Kubernetes infrastructure.
Platform Engineering Bootcamp
Comprehensive 21-week bootcamp equipping engineers with essential and advanced Platform Engineering and DevOps skills using industry-standard tools and best practices.
HashiCorp Vault Security Bootcamp
Comprehensive 3-week bootcamp mastering HashiCorp Vault from fundamentals to advanced operations. Learn secrets management, Kubernetes integration, enterprise deployment, and prepare for certification.
All Courses (46)
AI Agents and Agentic Workflows
Build autonomous AI agents that can reason, plan, and execute complex tasks. Master LangChain, LangGraph, and MCP for creating Platform Engineering assistants that query Kubernetes clusters with safety guardrails. Transform your RAG-powered assistant into an agent that can actually take actions.
AI Foundations for Infrastructure Engineers
Bridge the gap between traditional infrastructure and AI systems. This course provides just enough ML theory to understand what you're deploying, without diving into academic machine learning. By the end, you will have run your first local LLMs and understood their resource requirements.
AI Observability and LLMOps
Master observability for AI systems with Prometheus metrics, Grafana dashboards, and distributed tracing. Implement LLM evaluation frameworks, production guardrails for safety, and drift detection pipelines. Build the monitoring infrastructure that keeps AI systems reliable in production.
Enterprise AI and Capstone Project
Complete your AI Infrastructure journey by mastering enterprise-grade security, governance, and compliance. Then bring everything together in a comprehensive capstone project: build a production-ready Platform Engineering Assistant that combines RAG, agents, observability, and security. This is the culmination of everything you've learned.
LLM Integration and API Patterns
Master the practical skills of integrating LLMs into applications. Focus on API patterns, structured outputs, resilience, and cost-effective integrations. Build a production-ready API layer that routes between local and cloud models, handles failures gracefully, and tracks costs.
ML Infrastructure and Experiment Tracking
Master the infrastructure behind machine learning workflows. Implement experiment tracking, model versioning, and ML pipeline orchestration using GitOps principles. Learn to track prompt experiments, compare strategies, and version your AI systems for continuous improvement.
Model Serving and Kubernetes for ML
Master model serving infrastructure for production AI systems. Learn GPU scheduling concepts, Kubernetes resource management for ML workloads, KServe for serverless model inference, and production deployment patterns including canary and blue-green strategies.
RAG Architectures and Vector Databases
Build enterprise-grade Retrieval-Augmented Generation systems. Connect LLMs to organizational knowledge bases, implement semantic search, and optimize retrieval pipelines. By the end, you'll have built the ability to teach your assistant about your organization by connecting it to your knowledge base.
CNPA Certification Prep: Cloud Native Platform Engineering Associate
Start your platform engineering career and prepare for the CNCF Certified Cloud Native Platform Engineering Associate (CNPA) exam - no prior platform engineering experience required
All Labs (273)
Advanced RAG Patterns
Implement reranking and hybrid search to significantly improve RAG retrieval quality with measurable metrics.
AI Authentication and Authorization
Implement authentication and authorization patterns for AI systems including API key management, OAuth 2.0, multi-tenant isolation, and audit logging.
Bedrock Multi-Model Integration
Build a multi-model service using AWS Bedrock to access Claude, compare it with direct API calls, and implement intelligent provider fallback.
Bedrock + Lambda Serverless AI
Build a serverless AI endpoint using AWS Lambda and Bedrock, exposed through API Gateway for production use.
Canary Model Deployment
Implement canary deployments for safe ML model updates using KServe.
Capstone Part 2: Agent Development
Build a Platform Engineering Assistant agent with LangChain tools, safety guardrails, and RAG integration.
Capstone Part 3: Production Infrastructure
Deploy the Platform Engineering Assistant to Kubernetes with production-grade infrastructure: Helm charts, resource management, health checks, and autoscaling.
Capstone Part 4: Observability and Security
Complete the Platform Engineering Assistant with production observability and security: Prometheus metrics, Grafana dashboards, Vault secrets integration, and request logging.
Capstone Part 1: RAG Foundation
Build the RAG foundation for the Platform Engineering Assistant. Deploy ChromaDB, ingest Kubernetes documentation, create embeddings, and implement a retrieval API.
Choose your plan
Simple, Transparent Pricing
One price, everything included
Everything Included in Your Subscription
Content & Learning
- Access to all courses and bootcamps
- Video lessons with closed captions
- Interactive quizzes and assessments
- Course completion certificates
Hands-On Labs
- Browser-based cloud labs
- Pre-configured VMs ready to use
- Playgrounds for experiments
- Multi-VM realistic scenarios
AWS Integration
- Managed AWS Account included
- Pre-configured environments
- Real-world cloud scenarios
Support & Community
- Priority support
- Active community forum
No Setup Required
- Everything runs in your browser
- No software installation needed
- Automatic environment provisioning
- Works on any device
FAQ
Most frequent questions and answers