The Foundry's
Professional Certification Program

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.

Industry-Recognized Certificate
Hands-on Capstone Project
Expert-Led Sessions

Duration

6 Weeks

Mode

Hybrid

Starts

April 2026

Program Fee

2,00,0001,00,000

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.

Systemic Architecture

Master Multi-Agent Orchestration and High-Dimensional Vector Logic for enterprise systems.

Vector Intelligence

Orchestrate knowledge bases and high-performance data pipelines at global scale.

Model Deep-Dive

In-depth Transformer mechanics, fine-tuning strategies (LoRA/QLoA), and quantization.

MLOps 2.0

Enterprise-grade observability, CI/CD for AI, and scaling with Kubernetes & Docker.

Agentic Autonomy

Build goal-driven research agents and complex multi-agent swarm orchestration.

Frontier Research

Stay ahead with Multimodal World Models and future-proofing AI infrastructure for the next decade.

Technologies you'll learn

Industry standard technologies powered by modern AI stack

Python OpenAI LangChain Pinecone Hugging Face Ollama Streamlit LlamaIndex Cursor Jupyter scikit-learn XGBoost Activation functions Loss functions Backpropagation Gradient descent Regularization Hyperparameter tuning
Python OpenAI LangChain Pinecone Hugging Face Ollama Streamlit LlamaIndex Cursor Jupyter scikit-learn XGBoost Activation functions Loss functions Backpropagation Gradient descent Regularization Hyperparameter tuning
Python OpenAI LangChain Pinecone Hugging Face Ollama Streamlit LlamaIndex Cursor Jupyter scikit-learn XGBoost Activation functions Loss functions Backpropagation Gradient descent Regularization Hyperparameter tuning
Python OpenAI LangChain Pinecone Hugging Face Ollama Streamlit LlamaIndex Cursor Jupyter scikit-learn XGBoost Activation functions Loss functions Backpropagation Gradient descent Regularization Hyperparameter tuning
Prompt Engineering LLM App Development Vector Search AI Agents Orchestration Model Deployment Embeddings Linear Regression Logistic Regression Decision Trees Random Forest KNN Naive Bayes SVM Neural Networks Deep Learning
Prompt Engineering LLM App Development Vector Search AI Agents Orchestration Model Deployment Embeddings Linear Regression Logistic Regression Decision Trees Random Forest KNN Naive Bayes SVM Neural Networks Deep Learning
Prompt Engineering LLM App Development Vector Search AI Agents Orchestration Model Deployment Embeddings Linear Regression Logistic Regression Decision Trees Random Forest KNN Naive Bayes SVM Neural Networks Deep Learning
Prompt Engineering LLM App Development Vector Search AI Agents Orchestration Model Deployment Embeddings Linear Regression Logistic Regression Decision Trees Random Forest KNN Naive Bayes SVM Neural Networks Deep Learning

What You'll Learn

A comprehensive roadmap from AI fundamentals to production-ready systems

Week 1

Advanced System Architecture & High-Dimensional Logic

Advanced Multi-Agent Architectures
High-Dimensional Vector Space logic
Systemic Reasoning Beyond Determinism
Architecting for Scale & Reliability
ArceeArcee
OpenAIOpenAI
PythonPython
TensorFlowTensorFlow
AWSAWS
AzureAzure
LangChainLangChain
LiveKitLiveKit
crewAIcrewAI
pandaspandas
JupyterJupyter
PyTorchPyTorch
PineconePinecone
CSICSI
ArceeArcee
OpenAIOpenAI
PythonPython
TensorFlowTensorFlow
AWSAWS
AzureAzure
LangChainLangChain
LiveKitLiveKit
crewAIcrewAI
pandaspandas
JupyterJupyter
PyTorchPyTorch
PineconePinecone
CSICSI
ArceeArcee
OpenAIOpenAI
PythonPython
TensorFlowTensorFlow
AWSAWS
AzureAzure
LangChainLangChain
LiveKitLiveKit
crewAIcrewAI
pandaspandas
JupyterJupyter
PyTorchPyTorch
PineconePinecone
CSICSI
ArceeArcee
OpenAIOpenAI
PythonPython
TensorFlowTensorFlow
AWSAWS
AzureAzure
LangChainLangChain
LiveKitLiveKit
crewAIcrewAI
pandaspandas
JupyterJupyter
PyTorchPyTorch
PineconePinecone
CSICSI
Foundry Professional Certificate Sample

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.

PyTorch / TensorFlowLLM & ML FundamentalsModel Deployment & ServingInference OptimizationVector Databases & RAGModel Monitoring & Drift Detection
Avg. Salary
₹18L - ₹45L
Growth
+45% YoY

Core Responsibilities

Deploying and serving ML/LLM models at scale
Optimizing inference latency and cost
Building RAG and data pipelines
Monitoring model performance and drift
Collaborating with product and data teams

Engineer Intelligent
Production Systems.

Go beyond tutorials. Architect and deploy 6 complex applications that solve actual business problems.

Real-World Architecture
01
Tools & APIs

Code-Morpher

A CLI tool that translates legacy code (COBOL/Java) into modern Python using LLMs. Handles context, syntax errors, and writes tests automatically.

PythonOpenAI APITyperAST Parsing
02
Autonomous Agents

News-Hound Agent

An autonomous research agent that scrapes the web, summarizes news on specific topics, and generates a daily newsletter.

LangChainSerpAPIGPT-4Streamlit
03
RAG System

Legal Mind RAG

A secure document analysis tool for lawyers. Upload PDF contracts and ask complex questions with citations to specific clauses.

LlamaIndexPineconeHuggingFace EmbeddingsReact

Frequently Asked Questions