The Foundry's

Artificial
Intelligence

A 3-year immersive degree merging AI Engineering with Entrepreneurship.
Graduate with Mastery, Vision & Real-World Impact.

Available Degrees

BCA in Artificial Intelligence

B.Sc AI / ML Professional

Partner Institutions

Ethames Business School

Keshava Degree College

Industry Certifications

FCEPExec
FCIPPract
FFPProf
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Program Length

3-Year Full-Time

Delivery Mode

On-Campus, Immersive

Campus

Hyderabad and Warangal

Admissions

Now Open

Program Overview

A Degree Built for
the AI Era.

The Foundry's 3-year AI program combines rigorous academic foundations with hands-on engineering and entrepreneurial execution. Students don't just learn theory — they architect neural networks, deploy agent systems, and ship production-grade AI products before graduation.

Neural NetworksLLMs & AgentsMLOpsStartup LabGPU ClustersEthics & Safety
3
Years

Full-time immersive program

6
Semesters

Progressive skill building

100%
Hands-on

Project-based from day one

100+
Projects

Real-world problem solving

The Program Mix

Academic Sessions (40%)

Where ideas take shape through Structured learning, Discussions and Case Studies.

Start-up Lab (25%)

Where ideas turn into ventures through experimentation and Mentorship.

Industry Exposure (15%)

Masterclasses, Guest Sessions and Workshops that bridge Classroom Learning with real-world insights.

Beyond Academics (10%)

Fueling energy, excellence, and enthusiasm through play.

Student Circles (10%)

Collaborative Spaces/Clubs that spark Creativity, Teamwork and Leadership.

Built for the next generation

Who Is This For

Aspiring AI Engineers

Class 12 / Intermediate graduates from any stream — MPC, BiPC, CEC, HEC, or Arts.

Future Founders

Students who want to build AI-powered startups and ship real products before graduation.

Zero Coding Background

No prior programming required. We teach from the ground up starting with logic.

Academic Criteria

Academic Eligibility

01
Standard Pathway

  • Grade 12 / Intermediate from any recognized board.
  • MPC, BiPC, CEC, HEC, or Arts—all streams are eligible.
  • Minimum 60% aggregate in core subjects.

Admissions Open

Secure your cohort for 2026 today.

Program highlights

Three paths to becoming an AI professional

This program is structured as a progressive journey — from understanding AI fundamentals to building real systems and operating at an industry level.

Stage 01
AI Fluency
Learn the core concepts of Artificial Intelligence, Machine Learning, Deep Learning and Neural Networks. Build a confident foundation before you write a single line of code.
Stage 02
AI Builder
Work on real-world AI projects and develop practical problem-solving skills. Apply your knowledge to challenges that mirror what teams face in production environments today.
Stage 03
AI Engineer
Get guidance and training from experienced professionals in the AI industry. Graduate ready to own systems, communicate decisions, and operate at scale.

What you'll learn

A curriculum built around the skills that AI teams actually need — from system design to governance and reliability.

01AI system thinking
02Data-first problem framing
03Model selection & evaluation
04LLM integration & orchestration
05Risk, security, and governance by design
06Cost, latency, and reliability trade-off analysis
07Human-in-the-loop system design

What you'll achieve

Graduates leave this program with the mindset, vocabulary, and skills to make real decisions in AI-driven organisations.

You will be able to —
Design AI systems instead of model demos
Evaluate failure before deployment
Own AI behavior, cost, and risk
Communicate AI decisions to engineers, leaders, and regulators

What You Will Study

From mathematical foundations to shipping production AI systems. Every year builds on the last.

Year 1

Foundations of Intelligence

Mathematical Foundations: Linear Algebra, Calculus, Probability & Statistics
Python Mastery: From Zero to Production-Grade Engineering
Core Data Structures & Algorithms for AI
Introduction to Machine Learning: Supervised & Unsupervised Learning
Neural Network Fundamentals: Perceptrons to Deep Networks
Entrepreneurship 101: Problem Discovery & Ideation

Industrial Stack

Tool Master

pandas
PyTorch
TensorFlow
J
JAX
K
Keras
M
MLflow
K
Kaggle
S
spaCy
N
NLTK
O
OpenCV
Jupyter
Python
scikit-learn
Y
YOLO
S
Streamlit
G
Gradio
C
CUDA
M
MLOps
AWS
Azure
Colab
K
Kubeflow
R
Ray
B
BentoML
OpenAI
pandas
PyTorch
TensorFlow
J
JAX
K
Keras
M
MLflow
K
Kaggle
S
spaCy
N
NLTK
O
OpenCV
Jupyter
Python
scikit-learn
Y
YOLO
S
Streamlit
G
Gradio
C
CUDA
M
MLOps
AWS
Azure
Colab
K
Kubeflow
R
Ray
B
BentoML
OpenAI
HuggingFace Transformers
HF
Hugging Face Hub
V
vLLM
TI
Triton Inference Server
O
Ollama
S
SentenceTransformers
T
together.ai
A
Arcee
S
Symbolica
U
Upstage
C
Cartesia
LangChain
L
LlamaIndex
H
Haystack
L
LiveKit
H
hume
A
aixplain
V
vijil
W
webAI
B
Browserbase
C
crewAI
VA
veeW ai
Qdrant
F
FAISS
P
Pinecone
W
Weaviate
D
Dnotitia
A
aaru
Delve
glean
SI
Solve Intel.
Z
ZAMA
EDERA
C
Chainguard
EA
Evidently AI
GA
Guardrails AI
HuggingFace Transformers
HF
Hugging Face Hub
V
vLLM
TI
Triton Inference Server
O
Ollama
S
SentenceTransformers
T
together.ai
A
Arcee
S
Symbolica
U
Upstage
C
Cartesia
LangChain
L
LlamaIndex
H
Haystack
L
LiveKit
H
hume
A
aixplain
V
vijil
W
webAI
B
Browserbase
C
crewAI
VA
veeW ai
Qdrant
F
FAISS
P
Pinecone
W
Weaviate
D
Dnotitia
A
aaru
Delve
glean
SI
Solve Intel.
Z
ZAMA
EDERA
C
Chainguard
EA
Evidently AI
GA
Guardrails AI

What You'll Become

From mathematical foundations to architecting global cognitive systems. This is your career in 2035.

AI Model Engineer

Builds and fine-tunes transformer models and neural architectures for scalable AI applications across cloud and edge environments.

PyTorch & TensorFlowCUDA OptimizationLLM Architecture DesignTPU/GPU TuningDistributed Systems
Avg. Salary
₹7L - 11L
Growth
+35% YoY

Core Responsibilities

Implementing neural network architectures
Fine-tuning pretrained transformer models
Optimizing models for inference performance
Assisting in distributed training workflows
Experimenting with new model architectures
The Advantage

Why is The Foundry the right place?

HPC Clusters

Access to High Performance Compute infrastructure for training large models.

Research Labs

Direct mentorship from researchers pushing the boundaries of AI & ML.

Global Standards

Curriculum benchmarked against top AI research institutes like MIT & Stanford.

Rapid Prototyping

Hardware labs equipped for deploying edge AI and robotics applications.