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Hands-On Machine Learning and AI Training

Advanced Machine Learning Course with Deep Learning, NLP & Gen AI

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

DizitalAdda's Advanced Certification in Machine Learning and AI is a 6-month, 144-hour machine learning course. You learn Python, the maths behind ML, Scikit-learn, deep learning with TensorFlow and PyTorch, NLP, computer vision, Gen AI and MLOps, and build deployed projects, with 100% Placement Assistance.

  • 6 Months / 144 Hours, Hybrid (Online + Offline)
  • AI-Integrated Training in Every Module
  • Machine Learning with Gen AI: LLMs, Hugging Face and LangChain
  • Python, Scikit-learn, XGBoost, TensorFlow and PyTorch
  • NLP, Computer Vision and MLOps Deployment
  • Deployed Projects, Paid Internship Option and 100% Placement Assistance
Deep learning labs NLP and Gen AI apps Deployed 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: 6 Months / 144 Hours Mode: Hybrid (Online + Offline) Placement: 100% Placement Assistance Rating: 4.9 / 5 Level: Beginner to Advanced

Key Skills Covered in This Machine Learning Course

Python NumPy and Pandas Statistics for ML Scikit-learn Regression Classification Clustering XGBoost Deep Learning TensorFlow PyTorch NLP Computer Vision LLMs and Gen AI MLOps FastAPI and Docker

Why Choose DizitalAdda's Advanced Machine Learning Course

Your Benefits
01Deployed ML projects
02AI-integrated training in every module
03Machine learning with Gen AI module
04Deep learning, NLP and computer vision
05Python taught from zero
06Paid in-house internship option
07100% Placement Assistance
08Offline and online training modes

Key Highlights

  • Python to MLOps in one course
  • 9 modules with hands-on labs
  • Beginner friendly, no coding needed to start
  • Live doubt solving with ML mentors
  • GitHub portfolio and ML resume
  • TensorFlow, PyTorch and Hugging Face
  • Weekday and weekend batches
  • Class recordings on the LMS
Talk to an Expert

ML CAREER SUPPORT

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

Build Machine Learning Skills Companies Are Hiring For

This machine learning course with placement support is built on deployed projects, not just theory. You train models, build NLP and vision apps, use Gen AI, deploy with FastAPI and Docker, and show it all on GitHub, preparing you for ML engineer, data scientist and AI engineer roles.

97% Placement rate
144 Hrs Hands-on training
250+ Hiring partners
25000+ Students trained

Course Roadmap

What Will You Learn?

Nine practical modules take you from Python basics to deployed AI models. Every module of our machine learning course is AI-integrated, and a dedicated module covers machine learning with Gen AI.

Python & Data Foundations

  • Python basics from zero
  • Jupyter Notebooks and Google Colab
  • NumPy and Pandas
  • Data cleaning and EDA
  • Charts with Matplotlib and Seaborn
Python Pandas Colab

Maths & Statistics for ML

  • Linear algebra basics for ML
  • Probability and distributions
  • Statistics and hypothesis testing
  • Gradient descent explained simply
  • Bias, variance and overfitting
Statistics Linear Algebra

Supervised Machine Learning

  • Linear and logistic regression
  • Decision trees and random forests
  • SVM and KNN
  • XGBoost and LightGBM
  • Model evaluation and tuning
Scikit-learn XGBoost

Unsupervised Learning & Feature Engineering

  • K-means and hierarchical clustering
  • PCA and dimensionality reduction
  • Feature engineering and selection
  • Handling missing and imbalanced data
  • ML pipelines in Scikit-learn
Clustering PCA Pipelines

Deep Learning

  • Neural networks from the ground up
  • TensorFlow and Keras
  • PyTorch basics
  • Training, regularisation and tuning
  • Transfer learning
TensorFlow PyTorch Keras

Natural Language Processing

  • Text cleaning and embeddings
  • Sentiment analysis and text classification
  • Named entity recognition
  • Transformers with Hugging Face
  • Building an NLP web app
NLP Hugging Face Transformers

Computer Vision

  • Images as data
  • CNNs for image classification
  • Object detection with YOLO
  • Image augmentation
  • Real-world vision use cases
CNN YOLO OpenCV

Machine Learning with Gen AI

  • How LLMs work and where they fit with ML
  • Using Hugging Face and OpenAI models in Python
  • LangChain basics for AI apps
  • Using AI assistants to write and debug ML code
  • Gen AI for marketing and business use cases
LLMs LangChain Gen AI

MLOps & Deployment

  • Serving models with FastAPI
  • Docker basics
  • 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 of our machine learning course →

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 for ML
Data cleaning and EDA
Statistics for ML
Feature engineering
Model evaluation
AI-assisted coding
Regression and classification
Clustering and PCA
Neural networks
NLP with transformers
Computer vision with CNNs
LLMs and LangChain basics
FastAPI model serving
Docker and MLflow
Cloud deployment on AWS
GitHub portfolio
Interview and CV readiness
Explaining models to business

Portfolio Projects

Build and Deploy Real ML Projects

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

12 Hours

Customer Churn Predictor

Build and tune a classification model with Scikit-learn and XGBoost, then serve it as an API with FastAPI.

  • Feature engineering
  • XGBoost model
  • Evaluation metrics
  • FastAPI endpoint
8 Hours

Customer Segmentation

Group customers with K-means and PCA and turn the clusters into clear business recommendations.

  • Data preparation
  • K-means clustering
  • PCA charts
  • Segment profiles
12 Hours

CNN Image Classifier

Train a convolutional neural network with TensorFlow or PyTorch to classify images, using transfer learning.

  • Image augmentation
  • CNN training
  • Transfer learning
  • Accuracy report
10 Hours

NLP Sentiment App

Fine-tune a Hugging Face transformer on reviews and deploy it as a simple web app.

  • Text cleaning
  • Hugging Face model
  • Fine-tuning
  • Web app demo
8 Hours

LLM-Powered Assistant

Combine an LLM with LangChain to build a helpful assistant for a business task, and test its answers.

  • LLM API
  • LangChain chain
  • Prompt design
  • Answer testing
12 Hours

End-to-End MLOps Pipeline

Track experiments with MLflow, package a model with Docker and deploy it on AWS with basic monitoring.

  • MLflow tracking
  • Docker image
  • AWS deployment
  • Monitoring

ML Tools

Hands-on AI and Machine Learning Course with Industry ML Tools

This AI and machine learning course trains you on the frameworks and tools ML teams use to build, train, track and deploy models, plus AI assistants that speed up coding.

Our AI and Data Programs

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

Diploma in Machine Learning and AI
Diploma 12 Months
★4.9(1,043 ratings)
Job Oriented Course

Diploma in Machine Learning and AI

Everything in this course plus time series forecasting, advanced NLP with transformers and 15+ projects.

Explore Program →
Advanced Certification in Data Science and AI
Advanced 6 Months
★4.9(1,043 ratings)
Job Oriented Course

Advanced Certification in Data Science and AI

Python, statistics, data analysis and machine learning for data scientist roles.

Explore Program →
Advanced Certification in Generative AI and Prompt Engineering
Advanced 6 Months
★4.9(1,043 ratings)
Job Oriented Course

Advanced Certification in Generative AI and Prompt Engineering

Prompt engineering, LangChain, RAG and AI app deployment with 10 portfolio projects.

Explore Program →

Choose Your Perfect Learning Path

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

Advanced Level

Advanced Machine Learning & AI

6 Months

  • Python and statistics
  • Classical ML and XGBoost
  • Deep learning, NLP and vision
  • Machine learning with Gen AI
  • MLOps and deployment
  • 100% Placement Assistance

Perfect For:

Learners who want job-ready ML skills in 6 months

Diploma Level

Diploma in Machine Learning & AI

12 Months

  • Everything in Advanced
  • Time series forecasting
  • Advanced NLP and transformers
  • Advanced MLOps
  • Cloud platforms
  • More projects

Perfect For:

Learners aiming for senior ML engineering roles

Advanced Level

Advanced Data Science & AI

6 Months

  • Python and statistics
  • Data analysis and visualisation
  • Machine learning models
  • Real datasets
  • Data projects
  • Career support

Perfect For:

Learners targeting data scientist roles

Advanced Level

Advanced Gen AI & Prompt Engineering

6 Months

  • Prompt engineering
  • LangChain and RAG
  • Hugging Face
  • AI app deployment
  • 10 projects
  • Career support

Perfect For:

Learners who want to build Gen AI apps

Your Path to Success

Your Journey With Us

From your first line of Python to your first ML job — here's exactly how we take you there, step by step.

Step 1
Step 01

Enrollment

Meet your course counsellor, choose a batch, and get a clear 6-month plan for machine learning and AI.

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

Training

Attend live classes on Python, statistics, ML, deep learning, NLP, computer vision, Gen AI and MLOps.

Live Classes9 Modules, 144 HoursLab Access
Step 3
Step 03

Projects

Build real projects: a churn predictor, image classifier, NLP app, LLM assistant and MLOps pipeline.

Real DatasetsDeployed ModelsMentor Reviews
Step 4
Step 04

Certification

Earn the DizitalAdda Advanced Certification in Machine Learning and AI with Skill India recognition.

DizitalAdda CertifiedSkill IndiaGitHub Portfolio
Step 5
Step 05

Deploy & Showcase

Deploy your models with FastAPI, Docker and AWS and present them in a polished GitHub portfolio.

Live APIsPortfolioDemo Videos
Step 6
Step 06

Career

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

100% Placement Assistance250+ PartnersInterview Prep
For Everyone

Who Should Join This Machine Learning
Course
?

This 6 month machine learning course is built for anyone who wants to build real AI models. 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 Machine Learning Students Say

Student Reviews

"I joined DizitalAdda for the Advanced Certification in Machine Learning & AI. The course helped me understand the fundamentals of machine learning and artificial intelligence. The trainers explain technical concepts with practical examples, making learning easier."

VP
Vedant PaswanAdvanced Machine Learning Student

"My learning experience at DizitalAdda has been very good. I got an opportunity to understand machine learning algorithms and how they are used to solve real-world problems. The practical assignments are especially helpful."

KS
Kajol ShenoyAdvanced Machine Learning Student

"I wanted to learn Python and explore artificial intelligence. The training at DizitalAdda helped me build my programming knowledge and understand how Python is used in machine learning projects."

MS
Manoj SisodiaAdvanced Machine Learning Student

"I was searching for an advanced Machine Learning & AI course in Delhi. DizitalAdda provides structured training with a focus on theoretical concepts and practical learning. It has helped me understand this growing technology field."

MS
Meenakshi SolankiAdvanced Machine Learning Student

"The deep learning topics were particularly interesting for me. I learned about neural networks and how machines can identify patterns from data. The trainers explain complicated concepts in a simple and understandable way."

GM
Girish MahadikAdvanced Machine Learning Student

"I joined this course to understand how artificial intelligence is used in different industries. The training introduced me to machine learning applications, predictive modelling, and AI-based solutions. Overall, it has been a valuable experience."

AS
Amrita ShindeAdvanced Machine Learning Student

"What I liked most about the course is the practical learning approach. Working on machine learning exercises helped me understand how algorithms work and how to apply theoretical knowledge to actual problems."

BG
Bhuvan GehlotAdvanced Machine Learning Student

"The trainers at DizitalAdda are helpful and approachable. They explain machine learning and AI concepts step by step and encourage students to ask questions. The learning environment has been supportive."

NP
Nikita PardeshiAdvanced Machine Learning Student

"I wanted to develop technical skills in artificial intelligence and machine learning. This advanced certification helped me explore Python, machine learning algorithms, and different AI applications. It has given me a better understanding of the field."

YB
Yuvraj BundelaAdvanced Machine Learning Student

"My experience with the Advanced Certification in Machine Learning & AI at DizitalAdda has been positive. I gained knowledge of machine learning, AI concepts, and practical applications. I would recommend exploring this programme to students interested in AI technology."

SG
Sakshi GaikwadAdvanced Machine Learning Student

Machine Learning Certification

DizitalAdda's Machine Learning
Certification Gets You Hired!

About DizitalAdda's Certification

DizitalAdda's machine learning certification is awarded after the 6-month programme and your projects. It is backed by a GitHub portfolio of deployed work: a prediction API, an image classifier, an NLP app, an LLM assistant and an MLOps pipeline.

The certificate covers Python, statistics, supervised and unsupervised learning, deep learning, NLP, computer vision, Gen AI and MLOps, with Skill India recognition.

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

Next Batch Starts In:
01: 15: 30
Only 9 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 course 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 machine learning course 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 machine learning course 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 Course FAQs

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

What is this machine learning course?

It is our 6-month, 144-hour Advanced Certification that teaches Python, classical ML, deep learning, NLP, computer vision, Gen AI and MLOps through deployed projects.

What is the difference between AI and machine learning?

AI is the broad field of making machines act smart. Machine learning is a part of AI where systems learn patterns from data instead of following fixed rules.

Do I need coding experience or a CS degree?

No. Python is taught from zero in the first module, and graduates from any stream can join.

Where is the machine learning course 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 machine learning course with the same live classes, projects and mentor support.

Is Gen AI part of this AI and machine learning course?

Yes. AI tools are used in every module, and a Machine Learning with Gen AI module covers LLMs, Hugging Face, LangChain basics and AI-assisted coding.

Is deep learning covered?

Yes. A full deep learning course module covers neural networks, TensorFlow, Keras, PyTorch and transfer learning, used again in the NLP and computer vision modules.

Which tools will I learn?

Python, Jupyter, Google Colab, Scikit-learn, XGBoost, TensorFlow, PyTorch, Hugging Face, LangChain, MLflow, FastAPI, Docker, AWS, GitHub and ChatGPT.

What projects will I build?

A deployed churn or price predictor, a customer segmentation model, a CNN image classifier, an NLP sentiment app, an LLM-powered app and an MLOps pipeline.

What is MLOps?

MLOps is how machine learning models are tested, deployed and monitored in real products. You learn it with FastAPI, Docker, MLflow and AWS.

How is this different from the Diploma in ML and AI?

This Advanced course is 6 months. The Diploma is 12 months and adds time series forecasting, advanced NLP with transformers, cloud MLOps and 15+ projects.

What jobs can I get after this course?

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

Do you provide placement support?

Yes, 100% Placement Assistance: GitHub and resume review, technical mock interviews and referrals through our 250+ hiring partners. Top performers can get a paid in-house internship.

What are the batch timings?

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