
Remote or local, instructor-led live Serverless Computing training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of Serverless Computing.
Serverless Computing training is available as "remote live training" or "onsite live training". Remote live training is carried out by way of an interactive, remote desktop. Portugal onsite live Serverless Computing trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Trainer is trying to answer to the additional requests, even if it involves to change his plans.
ORANGE
Course: Cloud computing essentials for managers / software engineers
He had a very good manner,
Premier Partnership
Course: IoT Fundamentals and Frontiers : For Managers, CXO, VP, Investors and Entrepreneurs
Lecture on the scale of cloud computing.
Dolby Poland Sp. z o.o.
Course: Cloud Computing Overview
Machine Translated
Serverless Computing Course Outlines in Portugal
By the end of this training, participants will be able to:
- Install and configure Knative on-premise.
- Deploy and run serverless functions and applications that autoscale.
- Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
- Simplify the overhead of deploying containers; focus on writing great code.
By the end of this training, participants will be able to:
- Install and configure Kubeless.
- Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
- Comfortably manage functions as standard Kubernetes objects.
- Troubleshoot deployments using existing logging and monitoring setup and skills.
By the end of this training, participants will be able to:
- Install and configure OpenFaas.
- Package any binary or code as a serverless function without repetitive boiler-plate coding.
- Decouple from AWS Lambda to avoid lock-in.
- Deploy event-driven functions to an on-premise server or to the cloud.
By the end of this training, participants will be able to:
- Understand and use parallel programming with Fortran in OpenMP.
- Calculate fractals in parallel to render multiple pixels and characters.
- Implement vector programming with SIMD extensions for HPC systems.
- Add parallel blocks for specifying shared memory parallelism.
By the end of this training, participants will be able to:
- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
By the end of this training, participants will be able to:
- Set up Serverless Framework to work with compute services such as AWS Lambda.
- Reduce the complexity and cost of deploying microservices on different cloud platforms.
- Emit and capture events and execute functions automatically.


















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