EriTech Global Academy · Advanced Technical Pathway
Software Engineering
& Applied AI
Learn how to plan, build, protect, test, and present modern web applications and practical AI-enabled features through a focused, project-based technical intensive.
- 12 weeksThree-month intensive program
- 3 categoriesFour focused weeks in each category
- Build → Protect → LaunchOne connected engineering pathway
More than coding tutorials
Learn the thinking behind software that people can trust.
This program is not a collection of disconnected programming videos. You learn how the parts of a modern application fit together: interface, server, data, permissions, testing, deployment, and AI features.
Twelve weeks is enough to build a serious foundation and meaningful project evidence. It is not a promise of instant mastery. Strong engineering grows through continued practice, careful review, and the discipline to understand every part of the work under your name.
Think in systems
Explain the path from a user problem to interface, server logic, data, security, deployment, and improvement.
Write and improve real code
Use modern JavaScript and TypeScript patterns, debugging, Git, testing foundations, and clear documentation.
Build safer product features
Connect frontend, APIs, databases, validation, authentication, authorization, and practical security checks.
Add AI with responsibility
Build a useful AI feature with human review, permissions, evaluation thinking, and awareness of cost and risk.
The 12-week learning pathway
Three intensive categories. Four weeks each. One working software story.
The full source curriculum contains a wider long-term engineering roadmap. This Academy intensive deliberately concentrates the essential foundations students need to build, protect, test, and explain a meaningful product.
Software Foundations & TypeScript
Four-week engineering foundation
Start with the mental model and core code habits that make later frameworks, AI tools, and product decisions easier to understand.
- How web applications work: browser, HTTP, APIs, servers, databases, cloud, and safe development environments
- Git and GitHub workflow, project structure, debugging, browser tools, technical research, and professional documentation
- Semantic HTML, modern CSS, responsive design, accessibility, and user-focused interface foundations
- JavaScript problem solving, asynchronous data, modern modules, TypeScript, runtime validation, and error handling
Full-Stack Product Engineering
Four-week application-systems intensive
Turn a useful idea into a small but real application with a clear interface, server logic, data model, permissions, and tests.
- Current React and Next.js product patterns: components, forms, state, server and client boundaries, loading, errors, and accessibility
- Backend and API foundations: request handling, validation, API contracts, route handlers, and clear error responses
- SQL, PostgreSQL data modeling, managed database workflow, authentication, authorization, and Row Level Security concepts
- Testing foundations, secrets protection, input validation, dependency awareness, and a practical security review
Applied AI, Delivery & Capstone
Four-week applied-production intensive
Build one useful AI-enabled feature, test the product honestly, deploy it responsibly, and show the decisions behind it.
- Model APIs, structured outputs, tool calling, retrieval and knowledge-system foundations, plus Python/FastAPI extension patterns
- AI workflow design: choose a real user problem, define a clear task, add guardrails, evaluate outputs, and keep a human in control
- AI and application safety: permissions, secrets, injection awareness, cost awareness, logging, and approval for higher-risk actions
- Production foundations: environment management, deployment, automated checks, basic monitoring, code review, demo preparation, and documentation
Technology changes. Principles remain.
Learn current production habits without being locked to old tools.
Before every cohort, the Academy confirms a current stable technology baseline for the program. Students learn durable concepts first, then use approved production-ready tools for the cohort’s projects.
The exact framework, runtime, testing, deployment, and AI-tool versions are issued to enrolled students before the program begins. Emerging tools are clearly identified as emerging; deprecated practices are not taught as the main path.
Stable before shiny
Use supported, production-minded tools before experimenting with the newest release.
Security from the start
Validation, permissions, data protection, testing, and review are part of building—not an afterthought.
AI with accountability
Students review, test, verify, and explain AI-assisted code and AI features before they submit or deploy them.
A rhythm that keeps you building
Live guidance, dedicated practice, and visible code progress every week.
This is an intensive 12-week program beginning on October 5, 2026. Every week combines technical explanation, guided coding, review, independent practice, and steady progress on project work.
Exact Zoom class days and times will be provided to enrolled students. This allows EriTech Global Academy to confirm the best cohort schedule before the program begins.
Proof of your work
Finish with connected project evidence—not only completed lessons.
Each project deliberately prepares you for the next one, so the final capstone can show your technical choices, not just a list of tools.
Responsive TypeScript Web App
Create a polished responsive interface from real code, with accessibility, validation, error handling, deployment, Git history, and a clear README.
Secure Full-Stack Application
Plan a useful product flow, connect the interface to data and server logic, protect user information, test critical behavior, and explain your design.
Applied AI Product Capstone
Deliver one meaningful AI-assisted feature or product with evaluation thinking, permissions, safeguards, deployment, documentation, and a live demonstration.
Professional standards matter
Build with care. Use AI with responsibility.
Code that appears to work is not automatically good engineering. Students are trained to question their assumptions, handle errors, protect information, test important behavior, and document decisions.
AI coding assistants can speed up learning and delivery, but they do not remove the student’s responsibility. Every submitted system must be understood, reviewed, tested, and verified by the person whose name is on it.
Engineering quality
Use clear logic, maintainable structure, readable code, useful errors, tests, Git history, and documentation to show professional care.
Security and privacy
Review inputs, secrets, authentication, authorization, data access, dependencies, and deployment settings before a feature is treated as ready.
Responsible AI workflow
Specify → generate or implement → review → test → verify → commit. Human approval remains necessary for higher-risk actions.
Who this is for
For people ready to move from interest in technology to disciplined technical practice.
- Aspiring software developers, future full-stack engineers, and motivated technical beginners
- Web creators moving beyond no-code tools who want to understand the systems behind modern applications
- Technical entrepreneurs and SaaS builders who want to turn a useful product idea into a more informed prototype
- Freelancers, automation learners, and business builders who want stronger technical foundations for real projects
- People interested in practical AI application development—not only prompts, but responsible product features
What you need
Start prepared.
- Reliable access to a laptop or desktop computer and internet for Zoom classes, coding, and project work
- Strong general computer, browser, email, file-management, downloading, and software-installation ability
- Basic professional English comprehension for technical documentation, tools, and error messages
- Willingness to solve problems, ask questions, revise work, and practice independently between live sessions
- Commitment to attend three live sessions and complete two self-paced training days every week
Previous programming experience is not required, but this is not a basic-computer course. Applicants complete a short technical readiness assessment. Students needing core computer skills should begin with Digital Office & Business Technology.
Where this foundation can lead
Use practical evidence to choose your next technical direction.
Completion does not guarantee employment or income. This intensive gives you a stronger foundation, project evidence, and a clearer next step for continuing study, technical work, freelancing, or product building.
Web and frontend foundations
Continue building accessible interfaces, reusable components, responsive web experiences, and practical business applications.
Technical implementation
Develop further toward software support, quality assurance, API integration, data-backed product work, and team-based engineering practice.
SaaS and product prototyping
Use the application and capstone process to test a product idea, explain its architecture, and continue improving it with user feedback.
Applied AI and automation
Build on the program’s AI safety and integration foundations to explore responsible AI features, automation workflows, and deeper specialist study.
Before you apply
Frequently asked questions
Use the application page to tell us about your technical starting point, your goals, and the type of software or AI work you want to build toward.
Go to the Application PageWhen does the next program begin?
The next cohort begins on October 5, 2026. The exact Zoom class days and times will be shared with enrolled students.
How long is the program?
The complete program is a 12-week intensive: three connected categories, with four focused weeks in each category.
How will the classes work each week?
You will attend three instructor-led Zoom classes per week and complete two days of structured self-paced training for coding exercises, project development, testing, documentation, and portfolio work.
Can I apply without previous programming experience?
Yes. Previous programming experience is not required, but strong computer basics, independent-learning discipline, a reliable laptop, internet access, and willingness to solve problems are essential. Applicants complete a short technical readiness assessment.
Which technologies will I learn?
Students work with current approved technologies for web foundations, JavaScript and TypeScript, React and Next.js patterns, SQL and PostgreSQL concepts, APIs, deployment, testing, and applied AI. The exact stable technology baseline is confirmed before the cohort begins.
Will I receive a certificate?
Students who meet the program requirements receive the EriTech Global Academy Software Engineering & Applied AI Professional Certificate for this 12-week intensive.
Will I become a fully qualified software engineer in 12 weeks?
No honest program can promise final mastery in twelve weeks. This intensive gives you a serious foundation, guided project evidence, and a clear path for continued practice and deeper specialization.
October 2026 cohort
Build real software. Add intelligence with care. Begin your technical path.
Apply for the October cohort and tell us what you want to build, improve, or explore through software engineering and applied AI.