Courses

Discover the path to becoming a platform engineer in this 18-minute conference talk by Luca Galante at PlatformCon 2024. Learn about the latest standards and best resources to advance your platform engineering journey. Explore the rapidly growing field of platform engineering in the cloud-native industry and gain insights on how to upskill and join the platform revolution. Get answers to common questions, navigate the overwhelming CNCF landscape, and receive guidance on where to start your career transition. Expect a surprise announcement at the end of the talk. Access additional resources, including platform engineering courses and community engagement opportunities, to further support your professional development in this exciting field.

Learn about platform engineering principles and practices in this 25-minute conference talk delivered by Kelsey Hightower at PlatformCon 2025, where he explores the evolving role of platform engineers in modern software development organizations and shares insights on building effective platform engineering teams and infrastructure.

Explore advanced automation techniques and patterns for optimizing platform engineering in this 15-minute conference talk. Discover how to streamline cloud workflows using Backstage, leveraging the power of abstraction and flexible pipelines for improved orchestration. Learn from Zahi Ben Shabat and Jim McVea as they delve into building processes and workflows that provide control to both application developers and platform engineers. Using AWS cloud and GitLab pipelines as concrete examples, gain insights into CI/CD integration, infrastructure provisioning, and other strategies to enhance efficiency, reduce errors, and accelerate time-to-market for applications. Uncover the potential of automation in platform engineering to create flexible solutions that drive productivity and innovation.

Explore the crucial role of platform engineers in building bridges between development, operations, and other enterprise sectors in this 29-minute keynote address from KubeCon + CloudNativeCon. Delve into the CNCF's Platform Engineering Maturity Model to understand the diverse responsibilities of successful platform engineers, ranging from product management and developer advocacy to support engineering and system administration. Gain insights into how platform engineers create vital connections within organizations, fostering collaboration and efficiency in cloud native computing environments.

Explore the newly launched CNCF Certified Cloud Native Platform Engineering Associate (CNPA) certification in this comprehensive 11-minute tutorial that breaks down everything needed to pass this 2025 exam. Learn the fundamental differences between platform engineering and traditional DevOps, understand the exam's structure and domains, and discover key concepts like "Platform as a Product," cognitive load management, and SLOs. Master the exam format which focuses on platform engineering philosophy rather than hands-on technical skills, distinguishing it from certifications like CKA, CKAD, and AWS exams. Follow a proven study roadmap with domain-wise breakdowns, strategic preparation tips, and sample question analysis to successfully navigate this knowledge-based certification. Gain insights into platform engineering career opportunities and understand how this certification can advance your DevOps or cloud career in 2025.

Whether you are preparing to take the Associate Cloud Engineer certificate exam or are just interested in deepening your knowledge of Google Cloud technologies, this course will teach you all you need to know to pass the exam but also to equip you with the fundamental skills to excel as a Google Cloud engineer. Author and trainer Victor Dantas takes you through the vast landscape of Google Cloud services and how to use those services to deploy applications, monitor operations, and manage enterprise solutions on GCP. Throughout the course, Victor has covered every objective in the exam by breaking them down and distilling the most important concepts you need to know with the uses of examples and visuals that will help you internalize difficult and abstract concepts. Each module also includes demos and sample exam questions, which will test your knowledge in precisely the same way the Associate Cloud Engineer exam will on test day. Even if you are not taking the exam, these questions will help you develop your Google Cloud skills as an engineer. By the end of the course, you will understand the key technical concepts and be prepared to take on the ACE exam.

Develop the skills you need to pass the Google Cloud Platform (GCP) Associate Engineer Certification exam! What you'll learn: Know how to implement infrastructure solutions in GCPWhat you need to pass the GCP Associate Cloud Engineer Certification ExamCore GCP fundamentalsGet started on your journey to becoming a GCP Associate Cloud Engineer Welcome to the Refactored GCP Associate Cloud Engineer course!​The cloud computing market is one of the fastest growing with some of the most in-demand skill sets today. With the realization that people need to get up-to-speed on how to administer and develop services with Google Cloud Platform (GCP), Google has a full portfolio of certifications which can now be achieved by IT professionals.In the GCP Certification Course: Associate Cloud Engineer, you will learn how to effectively manage GCP solutions and deploy apps, all while monitoring your operations.During your journey, Refactored will lead you through a series of sections, lectures, and demos to prepare you for taking, and ultimately passing, the GCP Associate Cloud Engineer exam. Lectures will educate you on the fundamental terms and principles of GCP, and demos will enable you with a hands-on experience using scenarios to empower you in the real world.What you will learn:Know how to implement infrastructure solutions in GCPWhat you need to pass the GCP Associate Cloud Engineer Certification ExamCore GCP fundamentalsGet started on your journey to becoming a GCP Associate Cloud EngineerCourseRequirementsYou should have a foundational knowledge cloud computing concepts: network, storage, compute, etc.Course curriculum:Course IntroductionCloud Computing IntroductionGoogle Cloud OverviewProject Accounts and BillingIdentity and Access Management (IAM)NetworkingGoogle Compute EngineGoogle Kubernetes EngineStorage and Database Services This course includes all the information you need to accelerate your learning in the most efficient way possible. So what are you waiting for?

Learn and master the skills to become a Google Cloud Architect What you'll learn: Overview of the Google Cloud PlatformIn depth lectures with demos and examples for the Compute section including: Compute Engine, Kubernetes Engine, App Engine, Pub/Sub and Cloud functionsIn depth lectures with demos and examples for the Storage section including: Cloud storage, Big table, Spanner, Cloud SQL and DatastoreIn depth lectures with demos and examples for the Networking section including: VPCs, Subnets, Firewalls, Routes, IP addresses, DNS and LoadbalancerBest Practices of working with GCP in the real field. The GCP course provides you the tools to master the concepts required to become a Cloud Architect. GCP is a large, complex suite of products and services that can be overwhelming. We structured the course into a simple, module based learning system with core concepts, demos and real world examples. Whether you're a beginner looking for an introductory overview of the Google Cloud Platform or a professional studying for the certification, you'll benefit from the course. In the end of this course, you will gain in-depth knowledge about GCP to help your company or your own project to get on GCP, make use of the correct component on GCP, and continuously deliver better software. About the Author:Jake Robin is a seasoned hardware engineer with over 15 years of experience in technology. In particular, Jake has 7+ years architecting & developing end-to-end solutions involving mobile/api’s/ client-server/ iBeacons/ Google Cloud Platform/ AWS. He advised/mentored startups, ran training/marketing bootcamps in App development/Marketing/ Chatbots etc.Basit Mustafa is the Founder & CEO - Voltaire, Inc and the previously IBM's director in software department. Basit's technology career has focused on successfully applying technology to solve big problems, teaching others how to do the same, and leading teams that apply technology to solve business problems. Today, as Basit grows his business he enjoys coaching and teaching others to do the same with a focus on using the latest technology to build whatever is their passion! Why shall we learn Cloud Computing:Cloud Computing is on the bleeding edge of technology today. It is also one of the most compelling technologies of the last decade in terms of its disruption to software development, operations, systems architecture, testing and compliance practices. Google Cloud Computing is becoming a must tool for developers. GCP approach gives you the opportunity to scale your application without any need of deploy any physical hardwares. Google Cloud Computing allows developers to focus on the things which actually matters without worrying about the underlying infruscture where the application runs.Tons of companies are using Google Cloud Computing in production, today you have the access to that same cloud technology right on your desktop. What you'll learn:Overview of the Google Cloud PlatformIn depth lectures with demos and examples for the Compute section including: Compute Engine, Kubernetes Engine, App Engine, Pub/Sub and Cloud functionsIn depth lectures with demos and examples for the Storage section including: Cloud storage, Big table, Spanner, Cloud SQL and DatastoreIn depth lectures with demos and examples for the Networking section including: VPCs, Subnets, Firewalls, Routes, IP addresses, DNS and Load balancerBest Practices of working with GCP in the real field. Why choosing this course?This course is very hands on, Jake and Basit has put lots effort to provide you with not only the theory but also real-life examples of developing applications on GCPthat you can try out on your own laptop.In the end of this course, we are confident that you will gain in depth knowledge about GCP and general cloud computing skills to help your company or your own project to apply the right cloud solution and continuously deliver better software. 30-day money-back guarantee!You will get 30-day money-back guarantee from Udemy for this course.If not satisfied simply ask for a refund within 30 days. You will get full refund. No questions whatsoever asked.Are you ready to take your Cloud skills and career to the next level, take this course now!You will go from zero to GCP hero in 10 hours.

Explore the Comet Model Registry Platform in this comprehensive 32-minute tutorial for AI engineers. Learn how to monitor, log, register, version, and deploy machine learning models using Comet's sophisticated system. Follow along as the instructor demonstrates key features, including experiment initialization, Keras ML model training, model monitoring, and exporting models to the Comet server. Discover how to register models in the Comet Model Registry, generate new models with updated configurations, and download models from the registry. Gain practical insights into real-time model monitoring, risk and drift assessment, and efficient model management throughout the machine learning lifecycle.

Learn how to monitor AI models in real-time using the Comet ML platform in this 27-minute tutorial. Explore key features of model monitoring, including tracking metrics associated with risk and drift. Follow a step-by-step guide to log models, register experiments, track model versions, and deploy registered models. Dive into a practical demonstration using a heart disease detection experiment in Keras, and discover how to set up and configure the Comet ML Python package. Gain insights into visualizing monitoring data, charts, and histograms. Master experiment logging configuration and learn how to save experiments to GitHub. Perfect for AI engineers looking to enhance their model monitoring skills and leverage the power of Comet ML for improved model performance tracking in production environments.

Get an introduction to the Databricks Lakehouse platform in this first course of a six-course series.

Continue your preparations for the Google Associate Cloud Engineer exam by exploring how to manage access and security with IAM, service accounts, and more.

Learn how to prepare data for machine learning like a professional Data Engineer using the DataRobot AI Platform in this comprehensive tutorial. Explore the AI catalog functionality and dive into various data preparation techniques including creating computational features, outlier detection and removal, lookup tables and data joins, conditional computations, window functions, and shape transformations. Master the use of filtergrams for exploratory data analysis, adjust features and columns, and publish data lenses to the AI catalog. Gain hands-on experience with a powerful AI platform designed for enterprise-wide collaboration, covering the entire AI lifecycle from data preparation to machine learning and MLOps.

Begin your preparations for the Google Associate Cloud Engineer exam by learning about the Google Cloud Platform and how to set up projects and accounts.

Continue your preparations for the Google Associate Cloud Engineer exam by learning the steps and options involved in deploying and implementing a cloud solution.

Continue your preparations for the Google Associate Cloud Engineer exam by following the process to plan and configure a cloud solution.

Continue your preparations for the Google Associate Cloud Engineer exam by exploring techniques to ensure successful operation of your cloud solution.

Explore six high-growth DevOps career paths in this 22-minute video that breaks down the distinct roles, responsibilities, and six-figure salary potential within the DevOps ecosystem. Learn about the core DevOps Engineer role and how it serves as the foundation for specialized positions including Cloud Engineer, Platform Engineer, DevSecOps Engineer, Site Reliability Engineer (SRE), and MLOps Engineer. Discover the unique focus areas and challenges of each career path, from managing cloud infrastructure and building internal developer platforms to implementing security practices and ensuring system reliability. Understand how DevOps skills translate across different job titles and organizational needs, helping you identify which specialization aligns with your interests and career goals. Gain insights into the evolving landscape of DevOps roles and the foundational skills that enable career growth across multiple technical domains.

Explore the intersection of AI and cloud-native platforms in this insightful conference talk. Learn how to adapt your platform for AI applications while maintaining a smooth developer experience. Discover the capabilities of polyglot LLM-powered cloud native apps, including prompt engineering, LangChain4j AI Services, and integration of external knowledge. Gain insights into building AI golden paths using Backstage, Buildpacks, and Crossplane to streamline integrations and model provisioning. Delve into implementing production-grade capabilities for scaling and LLM observability with Knative and OpenTelemetry. Follow along as the speakers construct an AI-ready platform and implement a composer AI assistant, culminating in a live AI-assisted music composition for a chosen movie scene.

Explore advanced Git techniques tailored for platform engineers in this 44-minute conference talk from All Things Open 2022. Discover how to integrate operations and security best practices into development projects, regardless of specific requirements. Learn valuable strategies to overcome the isolation often experienced by platform engineers and effectively collaborate with development teams. Utilize GitLab core and its open-source CI/CD capabilities as a foundation for implementing these techniques in your organization. Gain insights into troubleshooting problems, understanding application requirements, and bridging the gap between operations and development for more efficient and secure project management.