
Technical Architect Course
The Technical Architect Course gives software professionals the frameworks, patterns, and decision-making skills needed to design complex, production-grade systems. You will move beyond writing code to shaping entire system structures, governing technical direction, and aligning engineering with business goals. This is the structured path to becoming the architect your organisation needs.
What you will learn:
You will build a complete technical architecture skill set, starting with core concepts and the architect's role within software delivery lifecycles. The course covers architectural patterns from monoliths to microservices, event-driven systems, and serverless designs. You will learn to document and communicate architecture using C4 and 4+1 models, apply threat modeling and security principles, and design scalable cloud-native infrastructure. Data architecture, API design, MLOps pipelines, and governance strategies are also covered in depth. By the end, you will have the tools to lead architectural decisions with confidence across any technology stack.
How you study in practice Technical Architect Course
How you practise Technical Architect Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 37 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Technical Architecture
Foundations of Technical Architecture
Lesson 1 • Architecture in the SDLC
Maps architectural activities to software delivery lifecycle phases. Shows how architecture integrates with agile and waterfall processes.
Lesson 2 • Core Architectural Concepts
Introduces structures, views, and decisions as fundamental building blocks. Provides shared language used throughout the course.
Lesson 3 • Defining the Architect Role
Clarifies what technical architects do versus developers and managers. Sets the professional context for all subsequent chapters.
Lesson 4 • Architectural Thinking Skills
Develops the mindset of reasoning about systems holistically. Builds habits of abstraction and trade-off analysis used in every design decision.
Chapter 2HideHide detailsSee detailsRequirements and Quality Attributes
Requirements and Quality Attributes
Lesson 1 • Architecturally Significant Requirements
Identifies which requirements most constrain or shape the architecture. Focuses design effort on high-impact decisions early.
Lesson 2 • Quality Attribute Scenarios
Teaches the scenario-based method for specifying quality requirements precisely. Scenarios become acceptance criteria for architectural decisions.
Lesson 3 • Capturing Architectural Requirements
Distinguishes functional from non-functional requirements and their architectural impact. Establishes the input baseline for all design work.
Lesson 4 • Quality Attribute Taxonomy
Surveys key quality attributes: performance, availability, security, modifiability, and usability. Connects each attribute to measurable system behaviours.
Chapter 3HideHide detailsSee detailsArchitectural Patterns and Styles
Architectural Patterns and Styles
Lesson 1 • Event-Driven and Reactive Patterns
Introduces event-driven, publish-subscribe, and CQRS patterns for asynchronous systems. Links these patterns to scalability and loose coupling goals.
Lesson 2 • Serverless and Edge Patterns
Explores function-as-a-service and edge-computing architectural styles. Evaluates cost, latency, and operational trade-offs versus traditional hosting.
Lesson 3 • Monolithic Architecture Patterns
Examines layered, modular monolith, and pipe-and-filter styles. Establishes baseline patterns before distributed alternatives are introduced.
Lesson 4 • Service-Oriented Patterns
Covers service-oriented architecture and microservices decomposition strategies. Connects service granularity decisions to maintainability and deployment trade-offs.
Lesson 5 • Pattern Selection and Trade-Off Analysis
Provides a structured method for choosing among competing patterns. Reinforces trade-off reasoning introduced in Chapter 1.
Chapter 4HideHide detailsSee detailsArchitecture Documentation and Communication
Architecture Documentation and Communication
Lesson 1 • Architectural Views and Viewpoints
Applies the 4+1 and C4 model view frameworks to structure documentation. Teaches selecting the right view for each stakeholder concern.
Lesson 2 • Communicating Architecture to Stakeholders
Develops skills for presenting architecture verbally and visually to diverse audiences. Connects communication effectiveness to stakeholder alignment.
Lesson 3 • Architecture Decision Records
Introduces ADRs as lightweight records of key design choices and their rationale. Builds a traceable decision history for the system.
Lesson 4 • Documentation Principles and Goals
Establishes why documentation matters and what makes it useful. Frames documentation as a communication tool, not a bureaucratic artifact.
Chapter 5HideHide detailsSee detailsCloud and Infrastructure Architecture
Cloud and Infrastructure Architecture
Lesson 1 • Networking and Security Architecture
Covers virtual networks, segmentation, and zero-trust security models for cloud environments. Connects network design to availability and compliance requirements.
Lesson 2 • Resilience and Disaster Recovery Design
Designs for high availability, fault tolerance, and recovery objectives. Applies redundancy and failover patterns to meet availability quality attributes.
Lesson 3 • Cloud Service and Deployment Models
Surveys IaaS, PaaS, SaaS, and public, private, and hybrid deployment options. Provides the vocabulary for cloud architecture decisions.
Lesson 4 • Cloud-Native Design Principles
Applies the twelve-factor app methodology and cloud-native patterns to system design. Links these principles to scalability and operational resilience.
Lesson 5 • Infrastructure as Code and Automation
Teaches declarative infrastructure provisioning and configuration management practices. Enables repeatable, auditable environment creation.
Chapter 6HideHide detailsSee detailsData Architecture and Management
Data Architecture and Management
Lesson 1 • Data Modelling Fundamentals
Covers conceptual, logical, and physical data modelling techniques. Provides the foundation for all storage and integration decisions.
Lesson 2 • Data Governance and Quality
Establishes policies for data ownership, lineage, quality, and access control. Ensures data architecture meets regulatory and business trust requirements.
Lesson 3 • Data Integration and Pipelines
Designs ETL, ELT, and streaming data pipelines for batch and real-time needs. Connects integration patterns to analytics and operational system requirements.
Lesson 4 • Relational and Non-Relational Storage
Compares relational, document, key-value, graph, and time-series databases. Guides technology selection based on access patterns and scale.
Lesson 5 • Analytical and AI-Ready Data Architecture
Designs data lakes, lakehouses, and feature stores for analytics and machine learning. Extends data architecture to support intelligent application requirements.
Chapter 7HideHide detailsSee detailsSecurity Architecture
Security Architecture
Lesson 1 • Data Protection and Cryptography
Applies encryption, key management, and data masking to protect sensitive data. Links cryptographic choices to compliance and performance trade-offs.
Lesson 2 • Security Review and Compliance Alignment
Conducts architecture security reviews and maps controls to compliance frameworks. Closes the loop between design decisions and audit requirements.
Lesson 3 • Authentication and Authorisation Patterns
Designs identity, authentication, and authorisation architectures for modern systems. Covers federated identity, OAuth flows, and role-based access control.
Lesson 4 • Threat Modelling
Applies STRIDE and attack tree methods to identify and prioritise threats. Produces a threat model that drives security control selection.
Lesson 5 • Security Architecture Principles
Introduces defence-in-depth, least privilege, and secure-by-design principles. Establishes the security mindset applied throughout this chapter.
Chapter 8HideHide detailsSee detailsArchitecture Governance and Evolution
Architecture Governance and Evolution
Lesson 1 • Architecture Roadmapping
Creates a multi-horizon architecture roadmap aligned to business strategy. Communicates future-state architecture to leadership and engineering teams.
Lesson 2 • Architecture Governance Models
Compares centralised, federated, and enabling governance structures. Selects the model that balances consistency with team autonomy.
Lesson 3 • Evolutionary Architecture Strategies
Applies strangler fig, branch-by-abstraction, and incremental migration patterns. Enables safe system evolution without big-bang rewrites.
Lesson 4 • Fitness Functions and Metrics
Defines measurable fitness functions to verify architectural properties continuously. Connects automated checks to quality attribute scenarios from Chapter 2.
Lesson 5 • Managing Technical Debt
Identifies, quantifies, and prioritises technical debt for systematic remediation. Balances debt repayment against feature delivery in roadmap planning.
Your valid completion certificate
This course is for you:
Senior developers: ready to grow your influence beyond just writing code.
DevOps engineers: looking to shape system design instead of only pipelines.
Tech leads: wanting formal frameworks to support your instinctive architectural choices.
Engineering managers: aiming to regain technical depth alongside your leadership duties.
Career changers from IT operations: moving into software architecture from infrastructure roles.
Startup CTOs: needing structured methods to replace ad hoc design decisions.
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