Aspiring AI Builders
- Starting from scratch
- Want structure, feedback & a roadmap
- Need a strong first portfolio
Master vibe coding, n8n/Zapier automations, RAG pipelines, knowledge databases, custom agents, and coding copilots.
Whether you want to build web apps with natural language, automate business workflows, or implement AI agents for startups, this bootcamp gets you ready.
First six weeks shown upfront. Download brochure for complete 16-week roadmap across vibe coding, workflow automations, conversational agents, and RAG pipelines.
Learn LLM foundations, token logic, context window limits, and future AI career opportunities.
Master prompt templates, chains, constraints, and reusable workflow strategies.
Master citations research, competitor analysis maps, and source-grounded notebooks.
Learn content pillar setups, hooks frameworks, and ad/landing-page copy generation.
Generate brand safe images, mockups, landing-page visuals, and custom graphics.
Learn AI voiceover, script storyboard triggers, and short-form video Dubbing.
Get full programme brochure with weeks 7-16, tools, case lenses, project outputs, portfolio milestones, and admissions details.
Learn core concepts at your own pace with curated materials & exercises.
The goal is not logo collecting. Each tool earns its place by helping an operator research, generate, build app workflows, test, or automate a business process.
LovableWe go beyond classrooms. Get expert guidance, build job-ready profiles, and connect with top recruiters—until you land your dream role.
Your go-to team for personalized career guidance and end-to-end placement support.
Tap into our network of 500+ hiring partners across startups, agencies and product companies.
Craft a standout LinkedIn profile and personal brand that gets you noticed.
Get expert feedback to showcase your skills and projects the right way.
Practice with industry experts and get actionable feedback to improve your performance.
From application strategies to interview readiness—we've got you covered.
Get shortlisted profiles directly shared with our hiring partners for relevant opportunities.
Make your profile recruiter-ready with keyword optimization and compelling content.
Too many AI programmes stop at ChatGPT prompts. This program starts with the part that creates real leverage: building automations, agents, and apps that run without you being there.
"The market does not need more prompt writers. It needs AI operators who can build agents, automate workflows, vibe-code apps, and deploy systems that scale."
The advantage is not just speed. It is using AI to compress app building and automation while improving reliability, scale, and system depth.
Each outcome maps to a portfolio artifact, a review standard, and a real AI use case. Click through the capability stack to see what you will build and how it will be judged.
Turn ambiguity into a clear problem using interviews, journey maps, insight synthesis, and sharp HMW framing.
Use AI to explore directions faster while keeping information hierarchy, flows, visual craft, and human intent in control.
Create components, tokens, UI states, accessibility checks, and design rules that make products coherent beyond one screen.
Connect interface decisions to activation, retention, conversion, qualitative evidence, and experiment design.
Package your research, prototype, system logic, metrics, and reflection into a portfolio narrative that can survive interview scrutiny.
The credential is not the product. It is the marker issued after portfolio review, capstone completion, and showcase readiness.
Learners earn the credential after presenting the research, prototype, system decisions, accessibility pass, and final case-study narrative.
The certificate mockup includes credential ID, date of issue, and verification space so the award feels like a formal record, not a decorative badge.
The credential works best when linked to a portfolio case study, final deck, and interview narrative that explain how the learner thinks.
has successfully completed the intensive programme, demonstrating proficiency in Prompt Engineering, Workflow Automations, Vibe Coding, and Agentic RAG systems.
Short answers before you start the fit check.
No. This programme is designed for beginners. No prior coding or engineering degree is required. You will learn vibe coding and AI-native building from Week 1.
The difference is depth and live mentorship. This programme connects prompting with automations, vibe coding, RAG agents, and real deployed systems instead of teaching isolated AI chatbot tricks.
Sessions are recorded, but the live critique rhythm is important. This programme is strongest when you can participate regularly, ask questions, and get feedback on your evolving work.
The capstone is a comprehensive product design case study built through a human-led, AI-executed workflow. It includes problem framing, research, flows, interface design, system logic, and a final presentation narrative.
After you complete the fit check and brochure request, the admissions team can share the current cohort logistics, fee details, and next steps based on your profile.
No. What this programme is designed to improve is your readiness: better case studies, stronger product judgment, clearer communication, and more relevant 2026 design workflows.
Yes, because the programme is not built around one tool. It is built around durable design judgment: user understanding, systems thinking, accessibility, experimentation, and the ability to adapt your workflow as tools evolve.