Certified Professional
AI Engineering
A transformation program for software engineers transitioning into AI Engineering. Reshape deterministic thinking into probabilistic, system-level reasoning. Emerge with production readiness and enterprise-grade judgment.
Duration
6 Weeks
Mode
Hybrid
Starts
March 2026
Program Fee
Why This Program Exists
The AI revolution is here, but most developers are still watching from the sidelines.
The Demand
Companies are scrambling for engineers who can build production-ready AI systems, not just run tutorials.
The Gap
Most courses teach theory. Few teach you to build autonomous agents, RAG systems, and multimodal apps that solve real problems.
The Solution
This program bridges the gap between basic Python scripting and building production-ready AI applications that companies actually need.
Who This Program Is For
No PhD required. Deep technical skills required and trained.
Fresh Graduates
CS/IT graduates who want to specialize in AI engineering from day one.
Software Developers
Backend/frontend developers transitioning into AI and ML roles.
Data Professionals
Data analysts and scientists who want to build AI products, not just models.
Tech Entrepreneurs
Founders and product managers who need hands-on AI implementation skills.
What You'll Become
A production-ready AI engineer who can architect, build, and deploy autonomous AI systems. You'll master the full stack—from OpenAI APIs and LangChain to vector databases, open-source models, and deployment strategies—giving you the skills companies are desperately seeking.
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 & Deployment
Design, deploy, monitor, and scale real-world AI systems used in production environments.
Technologies you'll learn
Industry standard technologies powered by modern AI stack
What You'll Learn
A comprehensive roadmap from AI fundamentals to production-ready systems
Deconstructing Software Thinking
Arcee
OpenAI
Python
TensorFlow
AWS
Azure
LangChain
LiveKit
crewAI
pandas
Jupyter
PyTorch
PineconeArceeOpenAIPythonTensorFlowAWSAzureLangChainLiveKitcrewAIpandasJupyterPyTorchPineconeArceeOpenAIPythonTensorFlowAWSAzureLangChainLiveKitcrewAIpandasJupyterPyTorchPineconeArceeOpenAIPythonTensorFlowAWSAzureLangChainLiveKitcrewAIpandasJupyterPyTorchPinecone
Industry Recognized Certification
Your effort deserves recognition. Upon successful completion of the professional track, you will receive a verifiable digital certificate from The Foundry, signaling your readiness to industry partners.
- Shareable on LinkedIn & Resumes
- Gateway to Advanced Specializations
Who you can become
The industry is evolving. This program prepares you for the most high-demand roles in the AI ecosystem.
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.