Software Engineer

Program

Software Engineer

Build, test, and ship reliable software

Learn programming fundamentals, Git, testing, and the software development lifecycle.

8

Weeks

40

Chapters

4

Practice formats

1

Portfolio artifact

8 weeks — one module per week (8 modules, 40 chapters), each week ending with a live class every Saturday, plus a module exam before the next module opens.

Curriculum

40 chapters across 8 modules — each with guided notes, a live example, a quiz, an exercise, a challenge, and class practice.

Module 1 · SOFTWARE ENGINEERING FOUNDATIONS

  1. 1Introduction to Software EngineeringWhat software engineering is, the software development life cycle, roles on a team, and what makes software good.Learn →
  2. 2Clean Code & Programming PracticesNaming, small functions, avoiding duplication, comments and docstrings, style guides, and refactoring safely.Learn →
  3. 3Data Structures & ComplexityBig-O notation, arrays, hash maps, sets, stacks, queues, and trees, and choosing the right structure for the job.Learn →
  4. 4Version Control with GitCommits, diffs, branches, merging and rebasing, remotes, pull requests, and writing good commit messages.Learn →
  5. 5Algorithms: Searching & SortingLinear vs. binary search, how common sorting algorithms work, counting steps to understand growth, built-in sorts and keys, and choosing the right approach.Learn →

Module 2 · WRITING RELIABLE CODE

  1. 6Automated Testing FundamentalsWhy automate tests, unit, integration, and end-to-end tests, the test pyramid, writing good tests, and test frameworks.Learn →
  2. 7Test-Driven Development & MockingThe red-green-refactor cycle, fixtures, test doubles and mocks, testing code with external dependencies, and dependency injection.Learn →
  3. 8Debugging SystematicallyReproducing bugs, reading tracebacks, logging, debuggers and breakpoints, bisecting, and fixing bugs so they stay fixed.Learn →
  4. 9Object-Oriented DesignClasses and objects, encapsulation, inheritance vs composition, polymorphism, SOLID principles, and common design patterns.Learn →
  5. 10Integration & End-to-End TestingThe test pyramid, integration tests with real or in-memory dependencies, fakes vs. mocks, end-to-end tests, test data management, and keeping suites fast and reliable.Learn →

Module 3 · BUILDING APPLICATIONS

  1. 11Databases & SQL for DevelopersRelational design, SQL queries and joins, indexes, transactions, and using databases from code with parameters and ORMs.Learn →
  2. 12Web Applications & REST APIsHow the web works, HTTP methods and status codes, designing REST APIs with JSON, building them with frameworks, and authentication basics.Learn →
  3. 13Software Design & ArchitectureModularity and layering, monoliths vs microservices, common architectural patterns, trade-offs, and writing design documents.Learn →
  4. 14Secure CodingThe OWASP Top 10, input validation, injection and parameterized queries, password storage, secrets management, and dependency security.Learn →
  5. 15Authentication & AuthorizationWho you are vs. what you may do, password hashing, sessions and tokens, OAuth/OpenID Connect, role- and permission-based access, and common access-control bugs.Learn →

Module 4 · COLLABORATE & SHIP

  1. 16Code Review & Team CollaborationWhy teams review code, what reviewers look for, giving and receiving feedback, agile ways of working, and documentation.Learn →
  2. 17CI/CD & DevOpsContinuous integration, pipelines, automated quality gates, containers, deployment strategies, environments, and monitoring.Learn →
  3. 18Agile & Scrum for DevelopersHow developers work in Scrum and Kanban, sprint ceremonies, user stories and acceptance criteria, definition of done, estimation, and working with product owners.Learn →
  4. 19Documentation & Architecture Decision RecordsWhat to document and where, READMEs, API docs, runbooks, architecture decision records (ADRs), docs-as-code, and keeping documentation current.Learn →
  5. 20Containers for DevelopersWhy containers, writing a Dockerfile, layers and caching, multi-stage builds, environment variables and secrets, docker compose for local development, and image hygiene.Learn →

Module 5 · ON THE JOB: DELIVERING FEATURES

  1. 21On the Job: From Ticket to ProductionTicket SHOP-482: "Customers want to save items for later." Clarify requirements, write a short design doc, split the work into small PRs, use feature flags, and ship safely.Learn →
  2. 22On the Job: Designing & Evolving an APIThe mobile team needs an orders API. Design resources and endpoints, status codes and errors, pagination and filtering, idempotency, documentation with OpenAPI, and versioning without breaking clients.Learn →
  3. 23On the Job: Fixing a Slow Page — Queries, N+1 & Caching"The orders page takes 6 seconds." Profile before guessing, find N+1 queries, add the right indexes, cache safely with invalidation, and verify the improvement.Learn →
  4. 24On the Job: Feature Flags & Gradual RolloutsSeparating deploy from release, flag types, percentage rollouts with stable hashing, targeting, kill switches, measuring impact, and cleaning up flag debt.Learn →
  5. 25On the Job: Estimating & Breaking Down WorkWhy estimates are hard, splitting work into thin vertical slices, spikes for unknowns, relative estimation, communicating uncertainty, and updating estimates.Learn →

Module 6 · ON THE JOB: LEGACY CODE & QUALITY

  1. 26On the Job: Changing Legacy Code SafelyYou inherit a 900-line function with no tests and must change the pricing rules. Read unfamiliar code, pin behaviour with characterisation tests, refactor in small steps, and leave it better.Learn →
  2. 27On the Job: Profiling & Speeding Up CodeA nightly job that used to take 10 minutes now takes 3 hours. Profile to find hotspots, choose better algorithms and data structures, avoid repeated work, and know when to stop optimising.Learn →
  3. 28On the Job: Dependencies, Upgrades & Supply-Chain SecurityA critical vulnerability is announced in a library you use. Manage dependencies with lockfiles and semantic versioning, triage security advisories, upgrade safely, and keep a healthy update routine.Learn →
  4. 29On the Job: Code Smells & Refactoring PatternsRecognising code smells, refactoring in small safe steps under tests, extract function, replace conditionals with data or polymorphism, and when not to refactor.Learn →
  5. 30On the Job: Managing Technical DebtWhat technical debt is, deliberate vs. accidental debt, making debt visible, prioritising by interest paid, negotiating time for it, and preventing new debt.Learn →

Module 7 · ON THE JOB: PRODUCTION ENGINEERING

  1. 31On the Job: Observability — Logs, Metrics & Traces"Checkout is sometimes slow" — but nobody can see why. Add structured logs, the right metrics, distributed traces and SLOs so the team can answer questions about production quickly.Learn →
  2. 32On the Job: On-Call & Production IncidentsYou're on call when error rates spike after a deploy. Follow incident roles, mitigate first (rollback!), communicate status, find the root cause, and run a blameless post-mortem.Learn →
  3. 33On the Job: Scaling with Caches, Queues & Background JobsBlack Friday traffic will be 10× normal. Move slow work to background jobs, use queues and retries with backoff, rate-limit, cache hot data, and load-test before the big day.Learn →
  4. 34On the Job: Timeouts, Retries & Circuit BreakersWhy remote calls fail, timeouts, retries with exponential backoff and jitter, idempotency keys, circuit breakers, bulkheads, and graceful degradation.Learn →
  5. 35On the Job: Concurrency & Async I/OConcurrency vs. parallelism, I/O-bound vs. CPU-bound work, threads, processes and async/await, race conditions and locks, and choosing the right model.Learn →

Module 8 · CAPSTONE & CAREER LAUNCH

  1. 36Capstone: Ship a Tested, Reviewed ProjectPlan, build, test, review, and deploy a complete project with a real pull-request history, ready to show employers.Learn →
  2. 37Portfolio & Interview Preparation for Software EngineersGet the offer — a GitHub portfolio that shows engineering, the coding interview (patterns and communication), system design basics, behavioural stories, and take-home projects.Learn →
  3. 38Job Search Strategy for Software EngineersEntry routes, reading job ads by stack and level, a GitHub portfolio that shows engineering practice, tailored applications, referrals, and handling the interview pipeline.Learn →
  4. 39Coding Interview PatternsHow coding interviews are assessed, a problem-solving process, common patterns (hash maps, two pointers, sliding window, BFS), testing your solution, and discussing complexity.Learn →
  5. 40Your First 90 Days as a Software EngineerRamp up in a new codebase — set up, ship a first change in week one, learn the architecture, ask good questions, give and receive code review, and build a reputation for reliability.Learn →
Start learning →

Delivery

Blended — self-paced lessons plus live code review sessions

Portfolio outcome

A tested, version-controlled project with a real pull request history, ready to link on your resume.

Certificate

Certificate of completion, verifiable online with its credential code.

By the end of this program, you'll be job-ready to…

  • Ship code through the same loop production teams use: build, test, review, deploy
  • Debug systematically instead of guessing
  • Give and receive code review feedback that actually improves the code

Salary expectations

Estimated U.S. national average annual salary by experience level.

$80,000

Entry-level

$115,000

Mid-level

$160,000

Senior-level

Estimated figures for planning purposes — actual pay varies by location, employer, and experience.

Tools you'll master

GitTesting frameworksDebugging toolsCI/CD fundamentals

Practical training, every chapter

  • A live "try it yourself" example in every chapter you can run immediately
  • A hands-on exercise per chapter, with hints and a reveal-able answer
  • An open-ended challenge per chapter, graded against real success criteria
  • Class practice prompts for pairs or cohorts, not just solo homework

Why take this program

Interview- and job-ready

Built to the same bar Aicloud actually hires against — not a generic syllabus.

Tier 1 company partners

Program partnerships with leading employers are in progress — see Affiliation for status.

Job connection access

Graduates get access to Aicloud's own hiring pipeline and employer referral network.

Professional networking

Cohort discussion boards and live sessions connect you with peers and mentors, not just content.

A real portfolio

You leave with a concrete, explainable artifact — proof of knowledge, not just a certificate.