Live Online Serverless Computing with AWS Lambda and Azure Functions
Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700
Serverless platforms let teams ship code without provisioning servers and pay only for actual execution, but they demand different design habits from traditional applications. Over ten days you compare execution models on AWS Lambda and Azure Functions, including cold starts, concurrency, scaling limits and pricing models. You then wire functions to triggers, bindings and event sources such as HTTP endpoints, queues, storage events and schedules. Packaging, dependency management and deployment automation follow, using infrastructure as code and CI/CD pipelines.
Stateless design patterns and data persistence options, including DynamoDB and Cosmos DB, show how to manage state safely outside the function. Orchestration sessions use Step Functions and Durable Functions to compose multi-step workflows with retries and error handling. Security, identity and governance complete the core material, covering IAM roles, managed identities, secrets and least-privilege access. Cloud developers, back-end engineers, DevOps practitioners and solution architects designing event-driven systems will find the labs directly relevant. By the end you can build, deploy and secure a serverless application on either cloud and judge when the model suits a workload.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
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 security, identity and governance, 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.
Training Objectives
By the end of this course, participants will be able to:
- Develop robust serverless computing with AWS lambda and azure functions frameworks that support successful implementation and measurable outcomes.
- Analyze performance using recognized evaluation methods drawn from security, identity and governance.
- Design practical systems that strengthen accountability, transparency and evidence generation.
- Evaluate outcomes and assess longer-term impact across a range of operating contexts.
- Apply relevant tools, frameworks and analytical methodologies confidently and appropriately.
- Integrate triggers, bindings and event sources into existing organizational processes and reporting structures.
- Strengthen decision-making and operational effectiveness through evidence-based professional practice.
What you'll learn
Key Takeaways
By the end of the Serverless Computing with AWS Lambda and Azure Functions, participants will leave with:
- A comprehensive working understanding of serverless computing with AWS lambda and azure functions principles and performance-measurement methodology.
- Enhanced ability to design practical systems and evaluate outcomes reliably.
- Improved competency in security, identity and governance, reporting structures and analytical interpretation.
- Practical techniques for translating findings into strategic insight and clear recommendations.
- Greater confidence in applying serverless computing with AWS lambda and azure functions and assessing measurable results.
- Stronger capability to support organizational learning and continuous performance improvement.
- Improved approaches to strengthening sustainability, accountability and operational effectiveness.
Training Methodology
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:
- Expert-led sessions facilitated by experienced serverless computing with AWS lambda and azure functions practitioners and subject-matter specialists.
- Practical application of the frameworks, tools and techniques used in security, identity and governance.
- Real-world case studies drawn from development initiatives, donor-funded programmes, nonprofit operations, and public sector environments.
- Tool-based demonstrations of the systems, templates and reporting applications used in current practice.
- Interactive discussion and scenario-based learning focused on realistic challenges and decision points.
- Structured group exercises with facilitator feedback, reinforcing learning through practice rather than lecture alone.
Day 1: Serverless Execution Models and Cloud Function Fundamentals
- Function-as-a-Service compared with virtual machines, containers and PaaS
- AWS Lambda execution environment: handlers, runtimes, memory-to-CPU coupling
- Azure Functions hosting plans: Consumption, Premium and Dedicated
- Cold starts, warm invocations and concurrency limits explained
- Setting up local tooling: AWS SAM CLI, Azure Functions Core Tools, VS Code extensions
- Writing, running and debugging a first function on each platform
- Common challenges, risks and failure points in serverless execution models and cloud function fundamentals
Day 2: Triggers, Bindings and Event Sources
- API Gateway, Lambda function URLs and HTTP-triggered Azure Functions
- Queue, topic and stream triggers: SQS, SNS, Kinesis, Azure Service Bus, Event Hubs
- Storage and database events: S3 notifications, DynamoDB Streams, Blob and Cosmos DB triggers
- Timer and schedule-based invocations with EventBridge Scheduler and CRON expressions
- Azure Functions input and output bindings versus explicit SDK calls in Lambda
- Event payload shapes, batching and partial batch failure handling
- Worked example: applying triggers, bindings and event sources in a live serverless computing with AWS lambda and azure functions context
Day 3: Packaging, Dependencies and Deployment Automation
- Deployment packages, Lambda layers and container image functions
- Dependency management for Python, Node.js and .NET function apps
- Infrastructure as code with AWS SAM, CloudFormation and Azure Bicep/ARM
- Environment variables, application settings and configuration per stage
- Versions, aliases, deployment slots and traffic shifting
- Building CI/CD pipelines with GitHub Actions and Azure DevOps
- Decision points and escalation routes in packaging, dependencies and deployment automation
Day 4: Data Persistence and Stateless Design Patterns
- Choosing between DynamoDB, Aurora Serverless, Cosmos DB and Azure SQL Serverless
- Connection management and pooling with RDS Proxy and serverless SQL
- Idempotency keys and exactly-once semantics in retried invocations
- Caching strategies with ElastiCache, Momento-style patterns and in-memory reuse
- Handling large payloads through object storage and pre-signed URLs
- Designing stateless handlers with externalised session and state
- Technology and automation supporting data persistence and stateless design patterns
Day 5: Orchestration and Workflow Composition
- AWS Step Functions: standard versus express workflows and Amazon States Language
- Azure Durable Functions: orchestrators, activities and entity functions
- Durable patterns: function chaining, fan-out/fan-in, human interaction, monitor
- Saga and compensating transaction patterns for distributed operations
- Error handling, retry policies, timeouts and catch blocks in workflows
- Choreography with EventBridge and Azure Event Grid event buses
- Planning and sequencing orchestration and workflow composition within the wider workflow
Day 6: Security, Identity and Governance
- Least-privilege IAM execution roles and resource-based policies for Lambda
- Managed identities, Azure RBAC and Key Vault references in Functions
- Secrets handling with AWS Secrets Manager and Parameter Store
- Authenticating APIs with Cognito, Azure AD, JWT validation and API keys
- Network isolation: VPC-attached functions, private endpoints, egress control
- Guardrails with service control policies, Azure Policy and function-level auth levels
- Resourcing, cost and capacity considerations
Day 7: Observability, Testing and Reliability Engineering
- Structured logging to CloudWatch Logs and Application Insights
- Distributed tracing with AWS X-Ray and Application Insights end-to-end transactions
- Custom metrics, alarms and dashboards for invocation errors and throttles
- Unit, integration and contract testing of handlers with mocked events
- Dead-letter queues, retry policies and poison-message recovery
- Chaos and load testing serverless endpoints to expose concurrency ceilings
- Reviewing outcomes and capturing lessons learned
Day 8: Performance Tuning and Cost Optimisation
- Right-sizing memory and measuring with AWS Lambda Power Tuning
- Reducing cold starts: provisioned concurrency, Premium plan pre-warmed instances, SnapStart
- ARM/Graviton runtimes and language runtime performance trade-offs
- Reserved concurrency, scaling limits and protecting downstream systems
- Cost modelling per invocation, GB-second and data transfer charges
- Deciding when functions are cheaper than containers or always-on services
- Standards, frameworks and good practice governing performance tuning and cost optimisation
Day 9: Multi-Cloud Architecture and Migration Practice
- Mapping AWS Lambda constructs to Azure Functions equivalents and back
- Refactoring a monolithic API into functions with the strangler pattern
- Portability options: containerised functions, OpenTelemetry, framework abstractions
- Cross-cloud event integration and hybrid connectivity considerations
- Vendor lock-in assessment and exit-cost analysis for stakeholders
- Workshop: migrating a sample Lambda workload to Azure Functions
- Regulatory, ethical and compliance dimensions of multi-cloud architecture and migration practice
Day 10: Capstone Build, Operating Model and Standards Watch
- Capstone: design and deploy an event-driven application across both platforms
- Documenting architecture decisions and presenting trade-offs to reviewers
- Defining team standards for repository structure, naming and tagging
- Reporting reliability and cost outcomes to technical and business audiences
- Building internal capability: templates, reusable layers and onboarding guides
- Tracking platform releases, runtime deprecations and serverless community practice
- Practical exercise and facilitated review
"
Serverless Computing with AWS Lambda and Azure Functions suits engineers and architects who already build and deploy applications and now need to run event-driven workloads without managing servers across AWS and Azure.
- Cloud Application Developers moving monolithic or container workloads to functions
- Backend and API Developers building HTTP-triggered and queue-triggered services
- Cloud Solutions Architects designing multi-cloud event-driven architectures
- DevOps and Platform Engineers automating function deployment pipelines
- Site Reliability Engineers responsible for observability, cold starts, and cost of serverless estates
- Integration Developers connecting SaaS systems through messaging and orchestration services
- Technical Leads evaluating AWS Lambda against Azure Functions for new projects
" Participants who finish the full programme receive a Certificate of Completion from Vision Reach Global Consultancy, confirming they can design, deploy, secure, monitor and cost-optimise event-driven applications on AWS Lambda and Azure Functions.
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.
Choose Where You Want to Learn
Serverless Computing with AWS Lambda and Azure Functions Venues
KenyaMombasaNext Nov 2· 13 dates$3,200- KenyaNaivashaNext Nov 9· 13 dates$3,000
- KenyaNairobiNext Nov 16· 13 dates$3,000
- KenyaKisumuNext Nov 2· 13 dates$3,000
- KenyaMachakosNext Nov 9· 13 dates$3,200
UgandaKampalaNext Nov 9· 13 dates$3,800
RwandaKigaliNext Nov 2· 13 dates$3,800
South AfricaCape TownNext Nov 2· 13 dates$7,600
TanzaniaZanzibarNext Nov 23· 13 dates$5,200
UAEDubaiNext Nov 2· 13 dates$7,600- South AfricaPretoriaNext Nov 9· 13 dates$6,400
- South AfricaJohannesburgNext Nov 9· 13 dates$6,800
- TanzaniaDodomaNext Nov 2· 13 dates$3,600
- TanzaniaDar es SalaamNext Nov 2· 13 dates$4,000
- TanzaniaArushaNext Nov 16· 13 dates$3,800
NigeriaAbujaNext Nov 16· 13 dates$5,600- NigeriaLagosNext Nov 23· 13 dates$5,600
GhanaAccraNext Nov 23· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Serverless Computing with AWS Lambda and Azure Functions
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.
" Serverless Computing with AWS Lambda and Azure Functions suits engineers and architects who already build and deploy applications and now need to run event-driven workloads without managing servers across AWS and Azure. Typical delegates include Cloud Application Developers moving monolithic or container workloads to functions, Backend and API Developers building HTTP-triggered and queue-triggered services, Cloud Solutions Architects designing multi-cloud event-driven architectures, DevOps and Platform Engineers automating function deployment pipelines, Site Reliability Engineers responsible for observability, cold starts, and cost of serverless estates, Integration Developers connecting SaaS systems through messaging and orchestration services, and Technical Leads evaluating AWS Lambda against Azure Functions for new projects.
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 November 2, 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 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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