Full-Stack • Verified Curriculum

Full Stack AI Development: Build & Launch Production Apps

Full Stack AI Development: Build & Launch Production Apps.

1 learners

Chandrakanta Behera

This course includes:

1 hour on-demand video
Full lifetime access
33 lessons
Certificate of completion
Levelbeginner
Enrolled1
CategoryFull-Stack
LanguageEnglish
AccessLifetime

What you'll learn

Master full Stack Foundation

Master full Stack Core Systems

Master advanced Systems & Scale

Master aI Integration & Monetization

Master launch & Scale

Course content

5 sections

33 lectures • 0 min total length

Inside this course

5

Modules

33

Lessons

1 hour

Content

Lifetime

Access

Full Stack AI Development: Build & Launch Production Apps. Full Stack AI Development: Build & Launch Production Apps is a complete, hands-on program covering full stack foundation, full stack core systems, advanced systems & scale and more — 33 lessons across 5 structured modules, with real projects you can ship from day one.

What you will build

Master full Stack Foundation

Master full Stack Core Systems

Master advanced Systems & Scale

Master AI Integration & Monetization

Master launch & Scale

Who this is for

  • Full-stack developers building and launching AI products

  • Indie founders shipping paid SaaS

  • Engineers who want a complete build→launch→production system

✦ Masterclass Syllabus

Comprehensive Interactive Syllabus Below

This course includes an extensive interactive living syllabus with real-world project specifications, architecture diagrams, and comprehensive lessons.

View Full Syllabus↓

Instructor

Chandrakanta Behera

Founder & lead instructor at CodeBitByBit — building and teaching real-world AI, mobile, and full-stack engineering.

chandrakantabehera.dev ↗

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Full Stack AI Development: Build & Launch Production Apps
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✦COMPREHENSIVE COURSE SYLLABUS & DEEP-DIVE

Interactive Curriculum & Hands-On Deep-Dive

Explore the entire verified syllabus, hands-on modules, project deliverables, and real-world implementation specs for Full Stack AI Development: Build & Launch Production Apps.

✦Why This Exists

The market is screaming. Are you building for it?

AI is eating every industry. Products built by developers who understand both systems and AI are commanding premium prices. The opportunity window is now.

✦What You Ship

Not tutorials. Products you can charge for.

Every project in CodeBitByBit is designed to be a real, deployable, monetizable product. Your GitHub won't look like a graveyard — it'll look like a portfolio that converts.

✦The System

5 phases. One complete builder.

Every module is outcome-first. You don't study a concept — you ship a feature. By the end, you've built the full stack, not just learned about it.

✦The Arsenal

Production tech, no toy stacks.

Everything you learn is what's actually running in real startups and tech companies right now. Not dated. Not simplified.

✦Core Differentiator

AI isn't a module. It's the foundation.

Most courses bolt on one AI chapter at the end. In CodeBitByBit, AI integration starts at week 5 and deepens every week after that.

✦Real Code. Real Systems.

This is what production looks like.

No "console.log your way to success". You write code that handles auth, queues, real-time events, AI streaming, and payments from day one of each project.

// rag-pipeline.ts — Production RAG with streaming
import { OpenAI } from "openai";
import { PineconeClient } from "@pinecone-database/pinecone";
import { checkTokenBudget, deductTokens } from "@/lib/billing";
export async function queryRAG(
  userId: string,
  query: string,
  namespace: string
): Promise<ReadableStream> {
  // 1. Check billing budget before processing
  const budget = await checkTokenBudget(userId);
  if (!budget.sufficient) throw new Error("Token budget exceeded");
  // 2. Embed query + semantic search
  const embedding = await openai.embeddings.create({
    model: "text-embedding-3-large",
    input: query
  });
  const results = await index.query({
    vector: embedding.data[0].embedding,
    topK: 6, includeMetadata: true, namespace
  });
  // 3. Build context + stream response
  const context = results.matches
    .map(m => m.metadata?.text).join("
");
  const stream = await openai.chat.completions.create({
    model: "gpt-4o", stream: true,
    messages: [
      { role: "system", content: `Answer using: ${context}` },
      { role: "user", content: query }
    ]
  });
  // 4. Track usage for billing
  await deductTokens(userId, stream.usage?.total_tokens ?? 0);
  return OpenAIStream(stream);
}
// billing/webhook.ts — Payment Gateway + usage-based billing
import PaymentGateway from "payment-gateway-sdk";
import { db } from "@/lib/db";
export async function handleSubscriptionEvent(
  event: PaymentGateway.Event
) {
  switch (event.type) {
    case "customer.subscription.created": {
      const sub = event.data.object as PaymentGateway.Subscription;
      await db.user.update({
        where: { paymentCustomerId: sub.customer as string },
        data: {
          plan: getPlanFromPriceId(sub.items.data[0].price.id),
          subscriptionId: sub.id,
          currentPeriodEnd: new Date(sub.current_period_end * 1000),
          tokenBudget: getTokenBudgetForPlan(sub)
        }
      });
      break;
    }
    case "invoice.payment_succeeded": {
      // Reset monthly token budget on renewal
      await resetTokenBudget(event.data.object);
      break;
    }
    case "customer.subscription.deleted": {
      await downgradeToFree(event.data.object);
      break;
    }
  }
}
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