AI-Powered Frontend Engineering & Prompt Engineering
Integrate LLMs, OpenAI, Anthropic, and Gemini APIs into modern web apps with streaming responses, vector search, and AI agent architectures.
Interactive Code Playground & Live Execution Engine
Every chapter is backed by runnable, editable sample code snippets. Experiment with React 19 hooks, Server Components, and Next.js 15 routing right inside your browser without manual local installation.
import { Suspense } from 'react';
import { UserGreeting, UserSkeleton } from '@/components/user';
// Chapter 162: High-Performance React Server Component
export default async function DashboardPage() {
return (
<main className="p-8 max-w-4xl mx-auto">
<h1 className="text-3xl font-bold tracking-tight">
Live Interactive Workspace
</h1>
<Suspense fallback={<UserSkeleton />}>
<UserGreeting />
</Suspense>
</main>
);
}Streaming from edge in 24ms • Server Component Verified
About This Masterclass
Build the Next Generation of AI-Native Web Applications
Supercharge your engineering toolkit by integrating Large Language Models and AI agents into web applications. Learn prompt engineering, streaming completions, embeddings, and rag pipelines.
What You Will Learn:
- AI APIs & LLM Foundations: Working with OpenAI, Gemini, and Claude SDKs, temperature, token limits, and function calling.
- Streaming UI with Vercel AI SDK: Real-time streaming responses, markdown rendering, code formatting, and chat history.
- Vector Embeddings & Semantic Search: Vector databases (Pinecone, pgvector), chunking strategies, and retrieval augmented generation.
- Autonomous AI Agents: Tool use, multi-step agent reasoning, structured outputs, and evaluation metrics.
Step-by-Step Multi-Step Curriculum
Structured into 8 Modules and 0 Comprehensive Chapters. Click any module to expand chapters.
Module 1: LLM Fundamentals, Prompt Engineering & Tool Calling
Module 2: Building Streaming Chat Interfaces with Next.js & AI SDK
Module 3: Vector Embeddings, Chunking & Semantic Search Engines
Module 4: Retrieval Augmented Generation (RAG) Architecture
Module 5: Structured JSON Outputs, Function Calling & Schema Validation
Module 6: Building Multi-Step Autonomous AI Agents
Module 7: Security, Prompt Injection Defense & Performance Optimization
Module 8: Final Capstone: Autonomous AI SaaS Application
Earn Your Course Completion Certificate
After the course completion and assessment requirements are met, Shodhana can issue a completion certificate showing your certificate number and issued date. Certificate records are managed privately by authorised staff.