Serverless Computing with AWS Lambda and Azure Functions is a professional course that builds practical skill in core areas of software dev and programming courses.
Organizations and professionals increasingly rely on software dev and programming courses knowledge to stay competitive and deliver results. This course provides hands-on training in the methods, tools, and frameworks that matter most in today's environment.
Participants complete the course ready to apply these skills immediately in their own roles and organizations.
Throughout the programme, participants work through realistic scenarios drawn from development initiatives, donor-funded programmes, nonprofit operations, and public sector environments, examining how serverless computing with AWS lambda and azure functions is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for observability and security, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
By the end of this course, participants will be able to:
By the end of the Serverless Computing with AWS Lambda and Azure Functions, participants will leave with:
This training course adopts a practical, participant-centered learning approach that builds serverless computing with AWS lambda and azure functions expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
Day 1: Serverless Computing Fundamentals
Day 2: Building Your First Lambda Function
Day 3: Event Sources and Triggers on AWS
Day 4: API Gateway and HTTP-Triggered Functions
Day 5: Azure Functions Fundamentals
Day 6: Azure Event-Driven Integrations
Day 7: Serverless Architecture Patterns
Day 8: Cold Starts, Performance and Cost Optimization
Day 9: Observability and Security
Day 10: CI/CD and Production Readiness
This programme is for developers and cloud engineers who need to design, build and operate production serverless applications on AWS and Azure.
Participants who complete the ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to design, deploy and operate serverless applications on AWS and Azure.
Certificates are issued in the delegate’s name on completion of the programme and are suitable for submission towards continuing professional development requirements. Vision Reach Global Consultancy verifies every certificate it issues on request.
Everything you need to know about this course before you register.
By the end of the Serverless Computing with AWS Lambda and Azure Functions programme, you'll be able to execute key processes and workflows in serverless computing, apply best-practice frameworks and methodologies, solve real-world problems using course tools and techniques, and lead projects and initiatives with confidence. The full breakdown of topics is covered session by session in the Course Outline tab above.
This programme is for developers and cloud engineers who need to design, build and operate production serverless applications on AWS and Azure. Typical delegates include Cloud and Backend Developers, DevOps and Site Reliability Engineers, Solutions Architects designing event-driven systems, Software Engineers migrating monoliths to serverless, Startup Engineering Teams optimizing infrastructure cost, IT Professionals pursuing cloud-native certifications, and IT Managers and Systems Administrators.
Serverless Computing with AWS Lambda and Azure Functions typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Serverless Computing with AWS Lambda and Azure Functions is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Serverless Computing with AWS Lambda and Azure Functions starts September 21, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Serverless Computing with AWS Lambda and Azure Functions from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Serverless Computing with AWS Lambda and Azure Functions is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Serverless Computing with AWS Lambda and Azure Functions vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Serverless Computing with AWS Lambda and Azure Functions can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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