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Beginner to Expert Machine Learning Training

Diploma in Machine Learning & AI with Deep Learning, NLP, Computer Vision & MLOps

4.9/5 from 1,043 reviews 25,000+ learners trained 250+ hiring partners

DizitalAdda's Diploma in Machine Learning and AI is a 12-month, 288-hour programme. You go from Python to classical ML, XGBoost, time series, deep learning, computer vision, NLP, transformers, Gen AI and MLOps, building 15+ projects and a strong GitHub portfolio, with 100% Placement Assistance.

  • 12 Months / 288 Hours, Hybrid (Online + Offline)
  • AI-Integrated Training in Every Module
  • Machine Learning with Gen AI: LLMs, Hugging Face and AI Marketing Use Cases
  • Python, Scikit-learn, XGBoost, TensorFlow, Keras and PyTorch
  • Computer Vision, NLP, Transformers and Time Series
  • 15+ Projects, Cloud MLOps and 100% Placement Assistance
Deep learning labs NLP and Gen AI apps 15+ ML projects
Free Career Counselling

Talk to an ML Mentor

Get a free call to plan your path into machine learning and AI engineering roles.

🔒 Your details are private. A mentor calls you within 24 hours.

  • Free demo class
  • Online & offline batches
  • 100% Placement Assistance
Duration: 12 Months / 288 Hours Mode: Hybrid (Online + Offline) Placement: 100% Placement Assistance Rating: 4.9 / 5 Level: Beginner to Expert

Key Skills Covered in This Machine Learning Diploma

Python Git and GitHub Statistics for ML Scikit-learn XGBoost Time Series Deep Learning TensorFlow and Keras PyTorch Computer Vision OpenCV and YOLO NLP BERT and GPT LLMs and Gen AI MLOps Cloud Deployment

Why Choose DizitalAdda's Machine Learning Diploma

Your Benefits
0115+ machine learning projects
02AI-integrated training in every module
03Machine learning with Gen AI module
04Computer vision, NLP and time series
05Python and maths taught from zero
06Cloud deployment and MLOps
07100% Placement Assistance
08Offline and online training modes

Key Highlights

  • Beginner to ML engineer in 12 months
  • 12 modules with hands-on labs
  • TensorFlow, Keras and PyTorch
  • Live doubt solving with ML mentors
  • GitHub ML portfolio and resume
  • Transformers and Hugging Face
  • Morning, evening and weekend batches
  • Class recordings on the LMS
Talk to an Expert

ML CAREER SUPPORT

★★★★★ Practical learning backed by 100% Placement Assistance

Become an ML Engineer Companies Want to Hire

This machine learning diploma with placement support is built on 15+ real projects. Over 12 months you train and deploy models for forecasting, vision and language, use Gen AI and show it all on GitHub, preparing you for ML engineer, AI engineer and data scientist roles.

97% Placement rate
15+ ML projects
250+ Hiring partners
25000+ Students trained

Course Roadmap

What Will You Learn?

Twelve modules take you from Python basics to deep learning, computer vision, NLP and production MLOps. Every module of this diploma in machine learning is AI-integrated, with a dedicated module on machine learning with Gen AI.

Python for AI

  • Python 3 from zero
  • Data structures and OOP
  • Jupyter and Google Colab
  • Git and GitHub
  • Clean coding habits
Python Git Colab

Maths & Statistics for ML

  • Linear algebra basics
  • Probability and distributions
  • Statistics and hypothesis tests
  • Gradient descent explained simply
  • Bias and variance
Statistics Linear Algebra

Data Analysis & Visualisation

  • NumPy and Pandas
  • Data cleaning
  • Exploratory data analysis
  • Charts with Matplotlib and Seaborn
  • Feature engineering basics
Pandas Matplotlib

Supervised Learning

  • Linear and logistic regression
  • Decision trees and random forests
  • SVM and KNN
  • Model evaluation and cross-validation
  • Hyperparameter tuning
Scikit-learn Regression

Unsupervised Learning & Ensembles

  • K-means and hierarchical clustering
  • PCA and dimensionality reduction
  • Gradient boosting and XGBoost
  • LightGBM
  • ML pipelines
XGBoost Clustering PCA

Time Series Forecasting

  • Trends and seasonality
  • ARIMA and Prophet
  • ML models for forecasting
  • Sales and demand forecasting
  • Forecast accuracy
ARIMA Prophet

Deep Learning

  • Neural networks from the ground up
  • TensorFlow and Keras
  • PyTorch
  • Regularisation and tuning
  • Transfer learning
TensorFlow Keras PyTorch

Computer Vision

  • CNNs for images
  • Image processing with OpenCV
  • Object detection with YOLO
  • Transfer learning for vision
  • Real-world vision projects
CNN OpenCV YOLO

Natural Language Processing

  • Tokenisation and text cleaning
  • TF-IDF and word embeddings
  • NLTK and SpaCy
  • Sentiment analysis
  • Text classification
NLTK SpaCy Word2Vec

Advanced NLP & Transformers

  • Attention and transformers
  • BERT and GPT
  • Hugging Face pipelines
  • Fine-tuning for your domain
  • Question answering and summarisation
BERT GPT Hugging Face

Machine Learning with Gen AI

  • How LLMs fit with ML systems
  • Using LLM APIs in Python
  • LangChain basics
  • AI-assisted coding and debugging
  • Gen AI for marketing and business use cases
LLMs LangChain Gen AI

MLOps & Cloud Deployment

  • Serving models with FastAPI
  • Docker and CI/CD
  • Experiment tracking with MLflow
  • Deploying on AWS
  • Monitoring models in production
FastAPI Docker MLflow AWS

Not sure if you are ready? Book a free demo class →

ML Skills Stack

What Makes You Job-Ready in Machine Learning and AI

Beyond tools, the course builds problem-solving, clean coding habits, practical AI skills and the ability to explain models to business teams.

Python and Git
Statistics for ML
Data cleaning and EDA
Classical ML models
XGBoost and ensembles
AI-assisted coding
Time series forecasting
Deep learning
Computer vision
NLP and embeddings
Transformers and BERT
LLMs and LangChain basics
FastAPI model serving
Docker and MLflow
Cloud deployment
GitHub portfolio
Interview and CV readiness
Explaining models to business

Portfolio Projects

Build 15+ Real ML Projects

Each project uses real data, ends with a working model or app, and goes into your GitHub portfolio.

12 Hours

Credit Risk Model with XGBoost

Build, tune and explain a credit risk classifier, comparing random forests, XGBoost and LightGBM.

  • Feature engineering
  • XGBoost tuning
  • Model comparison
  • Explainability
10 Hours

Sales Demand Forecasting

Forecast product demand with ARIMA, Prophet and ML models and present the forecast to a manager.

  • Trend and seasonality
  • ARIMA and Prophet
  • Accuracy checks
  • Forecast report
12 Hours

Object Detection with YOLO

Train an object detector with YOLO and OpenCV for a real use case such as safety gear or product defects.

  • Data labelling
  • YOLO training
  • OpenCV
  • Live demo
12 Hours

BERT Text Classifier

Fine-tune a BERT model with Hugging Face to classify support tickets or reviews and deploy it as a web app.

  • Text cleaning
  • BERT fine-tuning
  • Evaluation
  • Web app
8 Hours

LLM-Powered Business Assistant

Combine an LLM with LangChain to answer business questions and draft marketing content, then test the answers.

  • LLM API
  • LangChain
  • Prompt design
  • Answer testing
20 Hours

Capstone: ML Model in Production

Take a model from notebook to production with FastAPI, Docker, MLflow and AWS, with basic monitoring.

  • FastAPI
  • Docker and CI/CD
  • MLflow
  • AWS deployment

ML Tools

Hands-on Computer Vision and NLP Course with Industry ML Tools

This diploma works as a complete computer vision and NLP course too, using the frameworks ML teams rely on to build, train, track and deploy models.

Our AI and Data Programs

Choose a practical learning path based on your current level, specialization goals, and time commitment.

Advanced Certification in Machine Learning and AI
Advanced 6 Months
★4.9(1,043 ratings)
Job Oriented Course

Advanced Certification in Machine Learning and AI

The shorter path: Python, ML, deep learning, NLP, computer vision and MLOps in 6 months.

Explore Program →
Diploma in Generative AI and Prompt Engineering
Diploma 12 Months
★4.9(1,043 ratings)
Job Oriented Course

Diploma in Generative AI and Prompt Engineering

Deep learning to LLM fine-tuning, AI agents, RAG and MLOps for GenAI engineering roles.

Explore Program →
Diploma in Data Science and AI
Diploma 12 Months
★4.9(1,043 ratings)
Job Oriented Course

Diploma in Data Science and AI

Python, statistics, machine learning, big data and deeper AI for senior data science roles.

Explore Program →

Choose Your Perfect Learning Path

Compare our courses and find the right fit for your AI journey

Diploma Level

Diploma in Machine Learning & AI

12 Months

  • Python, statistics and classical ML
  • XGBoost and time series
  • Deep learning and computer vision
  • NLP and transformers
  • Gen AI and MLOps
  • 100% Placement Assistance

Perfect For:

Learners aiming for ML engineer and AI engineer roles

Advanced Level

Advanced Machine Learning & AI

6 Months

  • Python and statistics
  • Classical ML and XGBoost
  • Deep learning, NLP and vision
  • ML with Gen AI
  • MLOps basics
  • Career support

Perfect For:

Learners who want core ML skills in 6 months

Diploma Level

Diploma in Generative AI & Prompt Engineering

12 Months

  • Prompt engineering
  • LLM fine-tuning
  • AI agents and RAG
  • Multimodal AI
  • MLOps
  • Career support

Perfect For:

Learners focused on GenAI engineering

Diploma Level

Diploma in Data Science & AI

12 Months

  • Python and statistics
  • Machine learning
  • Big data tools
  • Deeper AI topics
  • Data projects
  • Career support

Perfect For:

Learners targeting senior data science roles

Your Path to Success

Your Journey With Us

From your first line of Python to an ML engineer role — here's exactly how we take you there over 12 months.

Step 1
Step 01

Enrollment

Meet your course counsellor, choose a batch, and get a clear 12-month plan for the machine learning diploma.

Course Selection1-on-1 CounsellingFlexible Batches
Step 2
Step 02

Foundations

Learn Python, Git, statistics and data analysis, with AI tools used from day one.

Live Classes12 Modules, 288 HoursLab Access
Step 3
Step 03

Core ML

Master supervised and unsupervised learning, XGBoost and time series forecasting.

XGBoostForecastingMentor Reviews
Step 4
Step 04

Deep Learning & AI

Build deep learning, computer vision, NLP and Gen AI projects with TensorFlow, PyTorch and Hugging Face.

Computer VisionNLPGen AI
Step 5
Step 05

Deploy & Certify

Deploy your capstone with FastAPI, Docker and AWS and earn your diploma with Skill India recognition.

MLOpsSkill IndiaGitHub Portfolio
Step 6
Step 06

Career

Get placed as an ML engineer, AI engineer or data scientist with our placement team.

100% Placement Assistance250+ PartnersInterview Prep
For Everyone

Who Should Join This Machine Learning
Diploma
?

This 12 month machine learning course is built for people who want deep, job-ready AI skills. Here is exactly who will benefit most.

Students & Graduates

Start an AI career with deployed projects that prove your skills to employers.

Software Developers

Add machine learning, deep learning and MLOps to your skill set and move into AI engineering.

Data Analysts

Go beyond dashboards and build predictive models that forecast and automate decisions.

Engineers & Science Grads

Use your maths and logic skills to move into one of the fastest-growing fields.

Working Professionals

Learn how AI can solve problems in your industry and open new career paths.

Career Switchers

Enter AI from any background with Python taught from zero and step-by-step projects.

What Our ML Diploma Students Say

Student Reviews

"I joined DizitalAdda for the Diploma in Machine Learning & AI. The course helped me understand artificial intelligence and machine learning from the basics. The trainers explain technical concepts with practical examples, which makes learning easier."

SJ
Siddharth JoharMachine Learning Diploma Student

"I wanted to learn Python for artificial intelligence, and this diploma has been a useful learning experience. I learned programming fundamentals and how Python is applied in machine learning projects. The practical exercises are really helpful."

NA
Nandita AryaMachine Learning Diploma Student

"The practical sessions at DizitalAdda are one of the best parts of the course. I got to understand different machine learning algorithms and how they are used to solve real-world problems. The trainers are supportive throughout the learning process."

PT
Piyush TalwarMachine Learning Diploma Student

"I was interested in learning deep learning and neural networks. The course introduced me to these concepts in a structured way. The trainers use simple examples to explain complex AI topics."

AM
Ananya MittalMachine Learning Diploma Student

"I was searching for a Machine Learning & AI diploma course in Delhi and found DizitalAdda. The course covers Python, machine learning, and deep learning concepts. I particularly appreciate the practical teaching approach."

HS
Harsh SekhonMachine Learning Diploma Student

"The diploma helped me understand how artificial intelligence is used in different industries. Learning about machine learning models, predictive analytics, and AI applications was very interesting. It has increased my interest in this field."

BK
Bhavna KhoslaMachine Learning Diploma Student

"What I liked most about DizitalAdda is the opportunity to learn through practical assignments. Working on machine learning exercises helped me understand how models are trained and how data is used to generate predictions."

JG
Jatin GroverMachine Learning Diploma Student

"The trainers are knowledgeable and explain Python and machine learning concepts step by step. Even when I find a topic difficult, they help me understand it through examples. My overall learning experience has been positive."

SM
Shweta MinochaMachine Learning Diploma Student

"I joined this diploma to develop technical skills in AI and machine learning. The programme introduced me to Python programming, deep learning, and different machine learning techniques. It has helped me understand the skills needed in this industry."

KT
Kunal ThaparMachine Learning Diploma Student

"My experience with the Diploma in Machine Learning & AI at DizitalAdda has been valuable. I gained knowledge of Python, machine learning algorithms, neural networks, and AI applications. The practical learning approach made the course more engaging."

MC
Meghna ChadhaMachine Learning Diploma Student

Machine Learning Diploma

DizitalAdda's Machine Learning
Certification Gets You Hired!

About DizitalAdda's Certification

The DizitalAdda Diploma in Machine Learning and AI is awarded after the 12-month programme and your production capstone. It is backed by a GitHub portfolio of 15+ projects across classical ML, forecasting, computer vision, NLP and Gen AI.

The diploma covers Python, statistics, supervised and unsupervised learning, XGBoost, time series, deep learning, computer vision, NLP, transformers, Gen AI and MLOps, with Skill India recognition and module certificates.

It is your launchpad to ML engineer, AI engineer, data scientist, NLP and computer vision roles, supported by 100% Placement Assistance and 250+ hiring partners.

Next Batch Starts In:
02: 33: 02
Only 13 seats left

Learn From The Best

Learn From Industry
Expert Trainers

At DizitalAdda, your trainers are full-time industry professionals who work on live projects and deliver results every day.

What We Have Achieved?

  • DizitalAdda has trained 25000+ students and working professionals through practical Digital Marketing, Generative AI, Data Science and Cyber Security programs designed for real industry needs. With hands-on learning, live labs, and career-focused training, the institute has helped learners build successful careers in top companies, startups, and security firms across India.
  • The institute's contribution to skill-based education has been recognized through prestigious industry honors, including the Indian Icon Award presented by Dr. Kiran Bedi, the Bharat Business Award presented by Ashneer Grover, and The Excellence Award by The Hotel School. These recognitions highlight DizitalAdda's commitment to quality training, student success, and innovation in digital education.
  • At DizitalAdda, students gain real-world experience by working on real datasets, ML models, deep learning and NLP projects, and deployed AI apps. The focus is on building portfolios, improving practical skills, and preparing students for real security roles with confidence and industry-ready expertise.
DizitalAdda award
DizitalAdda award
DizitalAdda award

Experience Learning in a Professional Campus

Training Room
Study Zone
Corridor
Classroom
Seminar Hall
Live Session
Workshop
Group Activity
Campus Lounge

Our Greater Kailash II campus, home to the machine learning diploma in Delhi, reflects a real corporate tech environment — focused, distraction-free and performance-driven, with modern lab facilities. Prefer to learn from home? Join the online diploma in machine learning with the same live classes.

Small Batches

Max 15 students per batch for personalized attention

Corporate Setup

Real project desks & live AI tools

Expert Mentors

10+ years industry experience instructors

Free Session

Book a Free Demo Class

Choose a date for your free demo session and speak with our team about the diploma syllabus, projects and career path.

SuMoTuWeThFrSa
Available
Today
Selected
Past
Select a date to book your demo session
1-hour live walkthrough of course structure and projects
100% free counselling session with zero hidden charges
Get clarity on course fit, prerequisites, and outcomes
Online and offline attendance options available
← Pick a date from the calendar

Machine Learning Diploma FAQs

Short answers to common questions about the course, AI careers and what you build during training.

What is the Diploma in Machine Learning?

It is our 12-month, 288-hour programme covering Python, statistics, classical ML, XGBoost, time series, deep learning, computer vision, NLP, transformers, Gen AI and MLOps, with 15+ projects.

How is the Diploma different from the 6-month Advanced ML course?

The Advanced course covers the core ML stack in 6 months. This 12 month machine learning course adds time series forecasting, advanced NLP with transformers, more computer vision, cloud MLOps and 15+ projects.

Do I need coding or maths background?

No. Python and the maths you need are taught from zero in the first modules.

Where is the machine learning diploma in Delhi held, and is there an online option?

Classroom batches run at our Greater Kailash II campus in South Delhi. You can also join the online diploma in machine learning with the same live classes, labs and placement support.

Is Gen AI part of this AI and ML diploma?

Yes. This is an AI and ML diploma with Gen AI built in: AI tools are used in every module, and a dedicated module covers LLMs, LangChain basics and Gen AI for marketing and business.

Are computer vision and NLP covered?

Yes. Full modules cover both, so it also works as a computer vision and NLP course: CNNs, OpenCV and YOLO, plus NLP, BERT, GPT and Hugging Face.

Is time series forecasting included?

Yes. A dedicated time series forecasting course module covers ARIMA, Prophet and ML forecasting for sales and demand.

Which tools will I learn?

Python, Jupyter, Colab, Git, Pandas, Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, OpenCV, YOLO, Hugging Face, LangChain, FastAPI, Docker, MLflow and AWS.

What projects will I build?

More than 15 projects across classical ML, forecasting, deep learning, computer vision, NLP, Gen AI and deployment, all on your GitHub.

What certificates will I get?

The DizitalAdda Diploma in Machine Learning and AI, Skill India recognition and module certificates for ML, deep learning, NLP, computer vision and MLOps.

What jobs can I get after the diploma?

Machine Learning Engineer, AI Engineer, Data Scientist, NLP Engineer, Computer Vision Engineer and MLOps Engineer.

Do you provide placement support?

Yes, this machine learning diploma with placement support includes GitHub review, technical ML mock interviews and referrals through our 250+ hiring partners.

What are the batch timings?

Morning, afternoon, evening and weekend batches are available, online and in the classroom. New batches start every 2 to 3 weeks and classes are recorded.