AI Engineering & Full Stack Development using Generative AI

Understand the AI landscape, learn how large language models work under the hood, and set up modern AI-powered IDEs.

Master prompt patterns like chain-of-thought, few-shot prompts, structured prompting, and prompt libraries.

Learn how to use code generation and editor assistants to speed up your software development workflows.

Generate semantic markup, layout systems, React components, and responsive pages with modern AI layout tools.

Design backends, APIs, express routers, middleware, and user authentication with the help of AI coding agents.

Model databases, connect ORMs, run migrations, and design schemas using Supabase and Prisma with AI tools.

Connect directly to commercial LLM inference gateways, manage API keys, compute usage costs, and handle streaming tokens.

Generate vector representations of text, store vectors in index DBs, and execute fast semantic search queries.

Implement Retrieval-Augmented Generation to ground your LLM responses, handle document chunking, and maintain query memory.

Build autonomous loops using LLM tool use, function calling, Model Context Protocol (MCP), and automated workflow setups.

Build a tool that reviews resume text, aligns with target keywords, and styles templates dynamically.

Connect diffusion models, write negative prompts, and control output dimensions for graphic creation.

Implement Text-to-Speech (TTS) and Speech-to-Text (STT) web integration for conversational voice controls.

Design search aggregators that compile web sources, summarize search hits, and build organized markdown guides.

Convert transcript texts into actions, highlight summary keynotes, and schedule calendar alerts dynamically.

Upload files or pull request links to find syntax anomalies, speed bottlenecks, and security vulnerabilities.

Define your SaaS project idea, plan the app pages, write database schemas, and align the backend architecture.

Construct the dashboards, landing views, user profiles, and secure authentication guards.

Build API routers, connect database services, secure request endpoints, and write admin panel views.

Implement main AI functions into the SaaS (text edits, context recommendations, chatbot window).

Set up Stripe or Razorpay subscription webhooks, checkout portals, user billing tabs, and transactional emails.

Deploy your codebase to Vercel, map custom domain records, optimize search engine tags, and trace metrics.

Organize your GitHub repositories, document SaaS writeups, structure portfolios, and optimize LinkedIn tags.

Present your Capstone SaaS project, complete final code reviews, and evaluate your program roadmap scorecards.