Certified
AI Engineering
Become a Production-Ready AI Engineer in 6 Weeks. Build autonomous agents, RAG systems, and multimodal apps that solve real-world problems.
Duration
6 Weeks
Mode
Hybrid
Starts
April 2026
Program Fee
Why This Program Exists
The AI revolution is here. Don't just watch it happen.
The Reality
Companies are scrambling for engineers who can build, not just theorize. Traditional courses are stuck in theory.
The Evolution
You need to move fast. From basic Python to building autonomous agents and RAG systems in weeks, not years.
The Goal
This program bridges your gap. You won't just learn concepts; you will ship production-grade AI apps.
Who This Program Is For
For those ready to jumpstart their career in the most exciting field of tech.
Students & Graduates
Computer Science or Engineering students wanting to specialize in AI.
Career Switchers
Developers from other domains (Web, Mobile) moving into AI.
Aspiring AI Engineers
Anyone with basic coding skills ready to build the future.
Tech Enthusiasts
Builders who want to create their own AI-powered startups or tools.
What You'll Learn
A structured path from foundations to advanced AI Engineering
Foundations of Systems Thinking
Course Highlights
Master the transition from basic scripting to production-ready AI engineering.
Zero-to-Hero
No PhD required. Start with LLM fundamentals and end with deploying autonomous agents.
Industry-First Stack
Master OpenAI API, LangChain, Vector Databases, and Open Source models (Llama 3, Mistral).
Real Portfolio
Build and deploy 6 production-grade projects that you can show off on GitHub and LinkedIn.
AI Safety
Learn responsible AI: prompt injection attacks, bias mitigation, and privacy.
Hybrid Model
Deep dives into proprietary models (GPT-4) and running local models using Ollama.
Production AI Systems
Design, deploy, monitor, and scale real-world AI systems used in production environments.
Technologies you'll learn
Arcee
OpenAI
Python
TensorFlow
AWS
Azure
LangChain
LiveKit
crewAI
pandas
Jupyter
PyTorch
PineconeArceeOpenAIPythonTensorFlowAWSAzureLangChainLiveKitcrewAIpandasJupyterPyTorchPineconeArceeOpenAIPythonTensorFlowAWSAzureLangChainLiveKitcrewAIpandasJupyterPyTorchPineconeArceeOpenAIPythonTensorFlowAWSAzureLangChainLiveKitcrewAIpandasJupyterPyTorchPinecone
Industry Recognized Certification
Validate your engineering prowess. Earn a certificate that proves you can build and deploy real AI applications, not just run notebooks.
- Shareable on LinkedIn & Resumes
- Showcase Detailed Project Portfolio
Who you can become
The industry is evolving. Start your journey towards high-demand roles.
AI Engineer
Builds, deploys, and scales AI systems in production. Focuses on model lifecycle management, inference optimization, and reliable integration of AI into products.
Core Responsibilities
AI Engineer
Builds, deploys, and scales AI systems in production. Focuses on model lifecycle management, inference optimization, and reliable integration of AI into products.
Core Responsibilities
Engineer Intelligent
Production Systems.
Go beyond tutorials. Architect and deploy 6 complex applications that solve actual business problems.
Code-Morpher
A CLI tool that translates legacy code (COBOL/Java) into modern Python using LLMs. Handles context, syntax errors, and writes tests automatically.
News-Hound Agent
An autonomous research agent that scrapes the web, summarizes news on specific topics, and generates a daily newsletter.
Legal Mind RAG
A secure document analysis tool for lawyers. Upload PDF contracts and ask complex questions with citations to specific clauses.