AI Engineering
Become an AI Engineer by mastering full-stack development with cutting-edge AI integration. Build intelligent applications using LLMs, vector databases, RAG systems, and modern AI frameworks like LangChain and OpenAI APIs.
Building AI-powered applications with modern frameworks.
Working with Large Language Models (LLMs) and OpenAI API.
Vector databases and RAG (Retrieval-Augmented Generation) systems.
Full-stack development with React, Next.js, and TypeScript.
Deploying production-ready AI applications.
Choose Your Learning Path
Cohort Training Program
14 weeks • 6 hours/week + AI projects
What's Included:
- Build 5+ AI-powered applications
- Work with cutting-edge LLM technologies
- Portfolio featuring RAG systems and AI chatbots
- 1-on-1 mentorship with AI engineers
- Access to premium API credits for learning
- Job placement in AI/ML roles
- Lifetime course updates with new AI technologies
- AI Engineer certification
What You Will Learn During Your AI Engineering Training
From building responsive frontends to integrating sophisticated AI models, master the full-stack skills needed to create intelligent, production-ready applications.
Build modern web applications with React, Next.js, and TypeScript.
- React and Next.js fundamentals
- TypeScript for type-safe development
- Server-side rendering and API routes
- State management and routing
Tools You'll Master
ReactNext.jsTypeScriptOpenAI APILangChainPineconeGitVS Code
Prerequisites
- Basic programming knowledge (JavaScript or Python helpful)
- Understanding of web development concepts
- Strong problem-solving skills
- Enthusiasm for AI and emerging technologies
Career Paths
- AI Engineer
- Full-Stack AI Developer
- LLM Application Developer
- AI Product Engineer
- Machine Learning Engineer
- AI Solutions Architect
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