50% Limited-Time Offer

AI & Machine Learning Engineering

Train models, evaluate them, and deploy AI into real applications.

2 MonthsCourse
1 MonthIndustrial Training
3 MonthsProgram
₹100,000 ₹50,000 50% OFF
3 MonthsDuration
1 MonthIndustrial Training
3+ ProjectsHands-on
2× CertificatesCourse + Training
YesInterview Prep
LiveMentor Support
01 · who this program is for

Built for people who want a real career outcome

This program is designed for learners at every stage — from students to career switchers.

1

B.Tech / MCA students & graduates

2

Developers moving into AI/ML

3

Analysts wanting predictive modelling

02 · career outcomes

Roles this program prepares you for

Two months of practical ML engineering — from data preprocessing to model training and evaluation — followed by one month of industrial training deploying a model into a working application.

Machine Learning Engineer
AI Engineer
Data Scientist (entry)
ML Application Developer
learning roadmap

Your month-by-month journey

A structured path from beginner to job-ready developer.

STAGE 1

Month 1 — Foundations & Data

Python for ML · NumPy & Pandas · Data cleaning & preprocessing · Statistics & feature engineering

4 Weeks
STAGE 2

Month 2 — Modelling & Evaluation

Supervised learning · Unsupervised learning · Model evaluation & tuning · TensorFlow / PyTorch basics

4 Weeks
STAGE 3

Month 3 — Industrial Training

End-to-end ML project · Data pipeline & training workflow · Deploying a model as an API · Documentation & reporting

4 Weeks
Learn. Build. Deploy. Grow.Hands-on learning with real projects, real experience and real career outcomes.
Talk to an Expert →
program curriculum

Everything you'll learn

Each month builds your skills step-by-step.

  • Python for ML
  • NumPy & Pandas
  • Data cleaning & preprocessing
  • Statistics & feature engineering
  • Exploratory data analysis
  • Supervised learning
  • Unsupervised learning
  • Model evaluation & tuning
  • TensorFlow / PyTorch basics
  • Model deployment
  • End-to-end ML project
  • Data pipeline & training workflow
  • Deploying a model as an API
  • Documentation & reporting
technologies covered

Tools you'll actually use

Master industry-standard technologies and tools used in real-world development.

Python logo
Python

Core language for ML

NumPy logo
NumPy

Numerical computing

Pandas logo
Pandas

Data manipulation

scikit-learn logo
scikit-learn

Classic ML algorithms

TensorFlow logo
TensorFlow

Deep learning

PyTorch logo
PyTorch

Research-grade deep learning

M
Matplotlib

Data visualisation

LA
LLM APIs

Applied generative AI

projects you'll build

Real work for your portfolio

Build and deploy applications that solve real problems and make your portfolio stand out.

notebook.ipynb
training · epoch 18/20accuracy 94.2%
accuracyloss
🐶
dog96%
cat3%
PROJECT 01

Prediction Model

Train and evaluate a predictive model on a real dataset.

Python · scikit-learn · Pandas
Intermediate
notebook.ipynb
training · epoch 18/20accuracy 94.2%
accuracyloss
🐶
dog96%
cat3%
PROJECT 02

Image Classifier

A deep-learning classifier with training and inference.

Python · TensorFlow
Advanced
ci-pipeline
$ docker build -t app:v2 .
✓ image built · 84 MB
$ git push origin main
→ pipeline triggered
Build ✓Test ✓Deploy ●
PROJECT 03

ML-Powered API

Serve a trained model behind a REST API.

Python · FastAPI
Advanced
industrial training included

1 Month of hands-on industrial training

After the core course, you move into structured industrial training on real project workflows — the difference between knowing the theory and being ready to work.

Real project workflow Git & collaboration Code reviews Debugging Documentation Deployment Training certificate
RSP+
Mentor-reviewed, team-style workyour code gets reviewed the way it does in a real job
Plansprint planning & task breakdown
queued
Codefeature branches on real tasks
queued
Testfunctional & regression checks
queued
Reviewcode reviews & feedback
queued
Deployship to a live environment
queued
what you graduate with

You leave with proof, not just knowledge

We ensure you graduate with real-world skills, valuable credentials, and everything you need to kickstart your career.

Course Completion Certificate

A verifiable certificate for the skills program you complete.

01

Industrial Training Certificate

A separate certificate for your hands-on industrial training.

02

Real Portfolio Projects

Multiple real projects you can show employers and clients.

03

Practical, Job-Ready Skills

Skills built through building — not just watching lectures.

04

Resume & Portfolio Support

Guidance on presenting your work and projects professionally.

05

Interview Preparation

Mock interviews and preparation for technical rounds.

06

Hiring Network Access

Eligible students may receive interview opportunities via our network.

07
interview lab

Preparing you for the interview, not just the exam

Every program includes structured interview preparation — technical mock interviews, problem-solving practice, project walkthroughs and communication coaching.

Mock Interviews

Practice technical rounds with feedback.

Problem Solving

Structured practice on real problem sets.

Project Defense

Learn to explain and defend your work.

Communication

Present yourself clearly and confidently.

Interview readiness focus

Illustrative view of the skill areas this program's interview prep targets.

Technical Skills82%
Problem Solving88%
Project Understanding91%
Communication76%
career support

Honest about how placement works

We provide resume support, portfolio guidance, interview preparation and access to our hiring network. We do not guarantee placement — eligible students may receive interview opportunities through our network and partner ecosystem based on their performance and readiness.

B
SAMPLE · VERIFY BY ID
BYTEOSOFT ACADEMY
INDUSTRIAL TRAINING CERTIFICATE
This is to certify that
Student Name
has completed industrial training in
AI & Machine Learning Engineering
TRAINING DURATION1 Month
MODEReal Project Workflows
CERTIFICATE IDBOS-TRN-2026-000000
B
SAMPLE · VERIFY BY ID
BYTEOSOFT ACADEMY
CERTIFICATE OF COMPLETION
This is to certify that
Student Name
has successfully completed the
AI & Machine Learning Engineering
COURSE DURATION2 Months
INDUSTRIAL TRAINING1 Month
CERTIFICATE IDBOS-XXXX-2026-000000
×2
you earn 2 certificates

Pages you leave with — proof, not just knowledge

Finish the program and you hold two verifiable certificates — one for the course, one for your industrial training. Employers can confirm both using their unique IDs on our public verification page.

Course Certificate · 2 Months Industrial Training Certificate · 1 Month
 Open certificate verification →
Secure. Public. Checkable by any employer.
enrollment

One price. Everything included.

No hidden fees. No extra charges. Just everything you need to learn, build and grow.

50% Limited-Time Offer

AI & Machine Learning Engineering

₹100,000
₹50,000

50% off · 3 Months program

  • 2 Months structured course
  • 1 Month industrial training
  • 3+ real portfolio projects
  • Course + training certificates
  • Interview preparation & mock interviews
  • Online & classroom options
Enroll Now → Talk to an Expert
Live Classes

Interactive live sessions with instructors.

Hands-on Projects

Real-world projects to build your portfolio.

Resources

Access to notes, recordings & materials.

Certificates

Course + industrial training certificates.

Mentor Support

1:1 doubt support & career guidance.

enroll now

Reserve your seat at the offer price

Sign in with Google, submit your application with fee proof (online QR or offline receipt) and get your BYTE enrollment ID after verification — tracked live in your account.

1Sign in with Google — 5 seconds, no password.
2Choose course, add details & qualification.
3Pay by UPI QR (or offline) & upload proof.
4Get your BYTE enrollment ID on approval.
Enroll in AI & Machine Learning Engineering
₹50,000 · 3 Months program · certificates ×2 included
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💬 Questions? WhatsApp us first
faq

Common questions

  • Students, graduates and developers. Basic Python helps but is taught early.
  • Some programming familiarity is useful; foundations are covered.
  • Yes — 1 month building and deploying an ML project.
  • Yes — course and training certificates.
  • Python, NumPy, Pandas, scikit-learn, TensorFlow/PyTorch and LLM APIs.
  • No. Eligible students may receive interview opportunities through our network.
₹50,000₹100,000
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