Desenvolvedor Full-Stack de IA
550 horas / 9 meses, programa de meio período
Esse programa AI Full-Stack de meio período oferece instrução especializada, projetos práticos e uma conexão real com o setor para que os formandos sejam contratados.
AI Full-Stack Developers build efficient web applications using frontend and backend development. They leverage AI tools to code faster, debug smarter, and optimize their workflow throughout the development process. By combining programming foundations with AI assistance, they streamline development, boost productivity, and deliver high-quality products more efficiently. AI Full-Stack Developers represent the next generation of developers – coding with AI as their daily collaborator.
In Wawiwa’s AI Full-Stack Developer Program, participants learn to build complete web applications with and alongside tools like ChatGPT and GitHub Copilot – becoming efficient in coding practices while learning how to collaborate with AI. They practice writing, reviewing, and improving code with AI assistance, gaining the skills and confidence to develop fast and smart.
Foco profundo no conhecimento especializado mais necessário em tecnologia
Graduates will become indispensable to employers with both frontend and backend development skills, while integrating AI across every layer. They’ll design, code, and refine the smart, dynamic applications that power our everyday digital experiences.
Abra portas com conexões com o setor
Equip students to succeed in a rapidly expanding field with help from our network of coding and AI experts, instructors, hiring partners, and alumni. The AI Full-Stack Developer curriculum was created in collaboration with the industry’s leading companies to make our programs as relevant as possible to the local industry’s needs, assuring graduates will be job-ready as soon as the program ends.
Orientar os alunos a entregar um projeto profissional
Throughout the program, students gain practical experience by completing large-scale projects that reinforce the concepts and technologies learned in each module. They develop both Frontend skills in HTML, CSS, JavaScript, and Rect, and Backend skills in Node.js to build complete web applications. They also learn UX/UI principles, participate in a Vibe Coding Workshop, and use AI tools throughout the process to code faster and smarter. The program culminates in a final project, where students build and present a complete full-stack web application that integrates an API – demonstrating real-world use of AI and showcasing their development skills.
Para quem é o programa?
Pessoas motivadas, com ou sem experiência prévia em programação, que desejam iniciar uma carreira empolgante no setor de tecnologia.
Como o programa funciona
550 total learning hours designed for skill-building:
- 250 academic hours – live classes with an expert instructor and guided practice
- 100 self-study hours – students practice and improve their skills with several recorded lessons. WaiCode, Wawiwa’s AI code checker, gives them real-time feedback to help them debug and learn independently
- 200 homework hours – real-world assignments designed to help students integrate what they learn into practice and build a portfolio they can showcase to employers
Desenvolvemos as habilidades interpessoais de que os desenvolvedores de pilha completa de IA precisam
Technical skills matter just as much as soft skills for an AI Full-Stack Developer. You need both to succeed.
Solução de problemas
Looking at challenges with a clear mind and finding practical ways to move forward
Trabalho em equipe
Collaborating with others, leveraging each person’s strengths, and respecting responsibilities
Comunicação
Explaining thoughts and work simply, asking the right questions, and keeping everyone aligned
Adaptabilidade
Adjusting quickly when priorities, tasks, and tools change, and staying effective through it all
Pensamento crítico
Challenging information and assumptions, asking questions, and making sound decisions
At Wawiwa, learners build soft skills naturally throughout the program. Because our training is hands-on, students learn by doing – working in teams, solving real problems, and practicing how professionals operate in real workplaces. This approach helps them develop strong technical abilities and the essential soft skills needed to thrive on the job from day one.
Profissionais de primeira linha
Esse programa exclusivo foi criado por uma equipe profissional composta pelos principais especialistas em desenvolvimento, com vasto conhecimento e experiência também em treinamento.
Eran Lasser
Founder & CEO of Wawiwa
Eran Lasser is a tech education entrepreneur and executive with more than 20 years of experience. Eran has founded, managed, and supported several IT training companies around the world, including John Bryce Training and DAN.IT Education. As Founder and CEO of Wawiwa, Eran has been instrumental in establishing and expanding partnerships in over 20 countries across 6 continents, bringing hundreds of AI and tech programs to thousands of students. Eran is responsible for the reskilling and upskilling of more than 50,000 individuals, helping them enter AI and technology careers or advance in their existing roles.
Daniel Anderson
Chief Training Officer
Daniel is responsible for updating state-of-the-art topics in the company’s tech training programs, and for maintaining its training methodologies. Daniel was the Chief Trainer at the Israel Defense Force’s Tech Training Center and is a graduate of the IDF training process. He develops and delivers a wide range of programming courses, and is a Full-Stack Developer and Data Scientist.
Asaf Amir
Head of Software Development Programs
Asaf is a Full-Stack software engineer with a B.A. in Computer Science. He has over 15 years of experience in the tech industry and in individual training. Asaf has founded various companies and apps in order to train and educate K-12 students and adults for high-tech professions. He is licensed by Israel’s Ministry of Education to provide online learning for K-12 students.
Programa de estudos
Learn web structure and semantics through human vs. AI-written examples.
Build your first static website, then compare it with an AI-generated version and enhance it.
Outcome: Understand proper markup structure and identify flaws in AI-generated code.
Explore visual design principles, CSS selectors, and responsive layouts.
Use GitHub Copilot to suggest CSS refactors, then analyze and critique its output.
Design a personal portfolio page with a style sheet that improves upon AI-generated CSS.
Outcome: Create maintainable, accessible designs that outperform AI defaults.
Become proficient in core JavaScript, DOM manipulation, asynchronous patterns, and debugging techniques.
Compare and benchmark GitHub Copilot’s code snippets against your own, identifying and fixing inefficiencies.
Analyze an AI-written UI component and rewrite it for better clarity and performance.
Outcome: Write robust, efficient JavaScript and critically evaluate AI-generated logic.
Evaluate human vs. AI-generated interfaces for accessibility, usability, and overall flow.
Outcome: Apply UX best practices to every AI-assisted build, creating user-friendly, intuitive experiences.
Take part in a creative coding sprint using AI as your pair programmer.
Outcome: Develop intuition, speed, and confidence when collaborating and co-coding with AI.
Become proficient in the full React ecosystem: JSX, hooks, context, routing, forms, Material UI, and Firebase.
Use continuous AI prompts for component generation, optimization, and debugging.
Analyze a public AI-based add-on, review its React code, and enhance or correct it.
Outcome: Architect production-grade SPAs while serving as the AI’s critical reviewer.
Get hands-on with a practical ML overview and integrate a simple prediction model into a web application.
Outcome: Understand how AI data pipelines connect with full-stack development.
Learn Node.js, Express, MongoDB/Mongoose, and SQL fundamentals.
Audit server code written by an LLM to assess security, performance, and efficiency.
Enhance and document an open-source AI API server.
Outcome: Deliver secure, optimized back-end services and validate AI-generated logic with confidence.
Build a professional portfolio highlighting your AI-collaboration projects and hands-on work.
Outcome: Showcase your skills and stand out as an AI Full-Stack Developer ready for real-world opportunities.
Students independently plan, design, and develop a complete web application that integrates an AI-based API or service (e.g., OpenAI, Hugging Face, or other automation APIs). The project emphasizes effective and responsible use of AI tools within a production-level software environment.
Project Phases
Planning: Define the concept, target users, and select the AI API to integrate.
Development: Build the client (React) and server (Node.js), implement API calls, manage data flow, and ensure secure configuration.
Presentation: Demonstrate the final project, explain the AI integration, and showcase working functionality to peers and partners.
Core Deliverables
Functional full-stack web application (React + Node.js).
Real AI integration (e.g., text generation, image creation, or intelligent recommendations).
Professional documentation, testing, and deployment.
Organized GitHub repository with clear commits and README.
Outcome
A complete, production-ready web application demonstrating practical AI use and professional full-stack development skills.
Wawiwa’s AI Full-Stack Developer Program received Tech10 accreditation from BCS,
The Chartered Institute for IT in the United Kingdom
Oportunidades de certificação do setor
After completing Wawiwa’s AI Full-Stack Developer Program, students may pursue additional certifications that the program helps prepare for.
Note: An industry certification is neither offered nor guaranteed as part of the program.
Microsoft Certified: Azure Developer Associate covers APIs, Node.js, databases, authentication, and frontend–backend integration, with some additional preparation needed in cloud functions, Azure Storage, Azure SQL/Cosmos DB, monitoring, and CI/CD basics.
AWS Certified Developer – Associate covers backend logic and APIs, with some additional preparation needed to map this knowledge onto AWS services such as Lambda, DynamoDB, API Gateway, IAM, S3, CloudWatch, and basic CI/CD.
Microsoft Certified: Azure AI Engineer Associate covers deploying LLM applications, using AI APIs, responsible AI, and building AI web apps. Some additional preparation may be needed in Azure Cognitive Services, model deployment on Azure, and low-code MLOps within the Azure ecosystem.
We Measure Success by Employability
Tech training for us is not the end goal – it’s just the beginning. At Wawiwa, we measure success by the employability of our graduates. Our programs are built with that goal in mind: train students to become job-ready and help them land a lucrative tech job upon graduation.
This employability focus delivers results around the world – over 70% of Wawiwa graduates land a tech job within two months of graduation.
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