D24
Data & AIIntermediate10 weeks
AI Developer
Learn to build production AI-powered applications end-to-end — integrating Claude, GPT, and Gemini APIs into full-stack apps, with proper testing, evaluation, and deployment.
What you'll learn
Integrating multiple LLM providers (Claude, GPT, Gemini) into an application
Designing AI-powered features: chat, search, content generation
Evaluating and testing AI feature quality and safety
Deploying and monitoring AI features in production
Course details
Duration
10 weeks
Best for
Full-stack developers who want to specialize in building AI-powered product features
On completion
Verified certificate & placement assistance
Choose how you learn
Course Curriculum
A module-by-module breakdown of what you'll cover in AI Developer.
01
Getting Started & Environment Setup
Weeks 1–2- Getting API access to Claude, OpenAI, and Gemini
- Installing LangChain
- Setting up a Next.js or FastAPI starter project
- Creating a free vector database account
02
Working with Multiple LLM Providers
Weeks 3–4- Comparing Claude, GPT, and Gemini APIs
- Building a provider abstraction layer
- Fallback strategies across providers
- Cost and latency tradeoffs
03
Designing AI-Powered Features
Weeks 5–6- Chat interfaces and streaming responses
- AI-assisted semantic search
- Content generation with human review
- UX patterns for AI-powered features
04
Evaluating & Testing AI Features
Weeks 7–8- Building evaluation datasets
- Objective output scoring
- Safety and bias testing
- Prompt regression testing
05
Deploying & Monitoring AI Features
Weeks 9–10- Production deployment patterns for AI features
- Usage and cost monitoring
- Graceful provider outage handling
- Safe prompt versioning
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
ClaClaude API
AIOpenAI API
GemGemini API
LanLangChain
FasFastAPI / Next.js
VecVector databases
GitGitHub Copilot
Hands-on Projects
This is project-based learning — you'll build real, portfolio-ready work as you go, not just watch lectures.
Multi-provider AI chat feature with provider fallback
AI-powered content generation tool with human review workflow
Evaluation suite comparing output quality across Claude/GPT/Gemini for a specific task
Production-deployed AI feature with usage monitoring and cost tracking
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
