•  50000/- INR 75000

Learn & Build Future-Ready Skills with Full Stack AI, ML & Deep Learning

One Program. All Future Technologies — Become a Complete AI & ML Engineer.

BESTSELLER

    4.9       539 students enrolled this month

Offer by ATTITUDE ACADEMY    Last updated:- Dec 29, 2025

What you'll learn

You will master:

  • Python Programming
  • Data Science & Visualization
  • Statistics & Machine Learning
  • Deep Learning (CNN, RNN, LSTM)
  • NLP & Text Processing
  • Computer Vision
  • Model Deployment & Real-Time AI Applications
  • Portfolio Building with Industry-Level Projects

You will be able to build AI systems, ML models, automation systems, NLP engines, and computer vision applications independently.


⏳ Expected Duration:

9 Months (Beginner to Advanced)

  • Phase 1: Python + Data Science Foundations – 3 Months
  • Phase 2: Machine Learning + Statistics – 3 Months
  • Phase 3: Deep Learning + NLP + Computer Vision – 3 Months

Requirements

No prior technical experience required.

Helpful skills (not mandatory):

  • Basic computer usage
  • Logical thinking
  • Interest in AI or programming

Everything is taught from zero to advanced.

 

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INR 50000/- INR 75000/- 33% Off
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Includes

How will you get your certificate?

Take the final exam online to complete the Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program after which you will be able to download your certificate from Attitude Trainings

attitude-certificate

Latest Jobs

    No Jobs Founds

What placement assistance will you receive?

Free Placement Preparation Training

Access to curated Internships & Current Job Openings.

Top performers will be highlighted on Attitude Job portal

What you'll learn

You will master:

  • Python Programming
  • Data Science & Visualization
  • Statistics & Machine Learning
  • Deep Learning (CNN, RNN, LSTM)
  • NLP & Text Processing
  • Computer Vision
  • Model Deployment & Real-Time AI Applications
  • Portfolio Building with Industry-Level Projects

You will be able to build AI systems, ML models, automation systems, NLP engines, and computer vision applications independently.


⏳ Expected Duration:

9 Months (Beginner to Advanced)

  • Phase 1: Python + Data Science Foundations – 3 Months
  • Phase 2: Machine Learning + Statistics – 3 Months
  • Phase 3: Deep Learning + NLP + Computer Vision – 3 Months

Requirements

No prior technical experience required.

Helpful skills (not mandatory):

  • Basic computer usage
  • Logical thinking
  • Interest in AI or programming

Everything is taught from zero to advanced.

 

How will your training work?

Thought

Classes

Take all of your face to face classes with trainer & get Live Sessions with Trainer for Doubts Clearing

Planning

Exams

Test your knowledge through quizzes & module tests & offline assessment

Implement

Projects

Get hands on practice by doing assignments and project

Result

Certificate

Take the final exam to get certified in Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program

What will be the training syllabus?

The Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program is a 9-month intensive, hands-on, industry-oriented certification designed for students, freshers, and working professionals who want to build a strong career in AI, Machine Learning, Deep Learning, NLP, Computer Vision and Data Science.

This program integrates Python programming, Data Science, Machine Learning, Deep Learning, NLP, Computer Vision and real-world AI applications.

Each phase includes complete topics, sub-topics, practical assignments, real-life use cases, mini-projects, and major capstone projects, preparing learners for job roles such as:

  • AI Engineer
  • Machine Learning Developer
  • Data Scientist
  • Deep Learning Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • AI Automation Specialist

By the end of the program, students build fully functional AI models, ML solutions, automation systems, NLP engines, and computer vision applications, making them industry-ready.

Topics & Subtopics

  • Python introduction & setup
  • Syntax, variables, data types
  • Strings & operations
  • If-else, loops
  • Data Structures (List, Tuple, Set, Dictionary)

Assignments

  • Birthday message generator
  • User registration collector
  • Text formatter
  • Password strength checker
  • Shopping cart simulation

Real-Life Use Cases

  • YouTube, Netflix, Instagram algorithm basics
  • Banking login validation

Topics

  • Functions, recursion, lambda
  • File handling
  • Exception handling
  • Object-Oriented Programming
    • Class, Object
    • Inheritance
    • Polymorphism

Subtopics

  • NumPy arrays & mathematical operations
  • Pandas DataFrames
  • Missing value handling
  • Outlier removal
  • Categorical encoding

Assignments

  • Titanic dataset cleaning
  • E-commerce sales data preparation

Use Case

  • Data preprocessing used by Amazon, Flipkart
 

Tools

  • Matplotlib
  • Seaborn

Assignments

  • Covid-19 data visualization
  • Business sales dashboard

Topics

  • Mean, Median, Mode
  • Variance, Standard deviation
  • Hypothesis Testing
    • t-test
    • Chi-square
    • ANOVA

Assignments

  • A/B testing for marketing
  • Sales performance analysis

Supervised Learning

  • Linear Regression
  • Logistic Regression
  • SVM
  • Naive Bayes
  • Decision Tree
  • Random Forest

Unsupervised Learning

  • K-means
  • Hierarchical clustering

Ensemble Methods

  • Bagging
  • AdaBoost
  • Gradient Boosting

Projects

  • House Price Prediction
  • Loan Eligibility Prediction
  • Spam Email Detection
  • Customer Segmentation
  • Movie Recommender System

Use Cases

  • Loan approvals
  • Customer personalization

Subtopics

  • Neural Networks
  • Activation Functions
  • Loss Functions
  • Gradient Descent
  • Backpropagation

Assignment

  • Build a neural network manually (math-based)

Subtopics

  • Convolution
  • Filters & pooling
  • Dropout
  • CNN with Keras

Projects

  • MNIST Digit Recognition
  • Image Classification

Use Case

  • Autonomous vehicle image processing

Topics

  • RNN
  • LSTM
  • Time-series forecasting

Projects

  • Stock Price Prediction
  • Next Word Predictor

Subtopics

  • Tokenization
  • Stemming, Lemmatization
  • Stopwords
  • POS Tagging
  • TF-IDF
  • Word2Vec
  • Sentiment Analysis
  • Named Entity Recognition

Projects

  • Twitter Sentiment Analyzer
  • Resume Keyword Extractor

Topics

  • Image manipulation
  • Edge detection
  • Camera access
  • Object tracking
  • Face detection
  • Object detection

Projects

  • Real-time Face Recognition
  • Object Tracking System

  • AI-Based Loan Approval System
  • Customer Segmentation Dashboard
  • Next Word Prediction AI
  • Face Recognition Attendance System
  • Object Detection Application
  • NLP-Powered Chat Analyzer

Description

The Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program is a 9-month intensive, hands-on, industry-oriented certification designed for students, freshers, and working professionals who want to build a strong career in AI, Machine Learning, Deep Learning, NLP, Computer Vision and Data Science.

This program integrates Python programming, Data Science, Machine Learning, Deep Learning, NLP, Computer Vision and real-world AI applications.

Each phase includes complete topics, sub-topics, practical assignments, real-life use cases, mini-projects, and major capstone projects, preparing learners for job roles such as:

  • AI Engineer
  • Machine Learning Developer
  • Data Scientist
  • Deep Learning Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • AI Automation Specialist

By the end of the program, students build fully functional AI models, ML solutions, automation systems, NLP engines, and computer vision applications, making them industry-ready.

Topics & Subtopics

  • Python introduction & setup
  • Syntax, variables, data types
  • Strings & operations
  • If-else, loops
  • Data Structures (List, Tuple, Set, Dictionary)

Assignments

  • Birthday message generator
  • User registration collector
  • Text formatter
  • Password strength checker
  • Shopping cart simulation

Real-Life Use Cases

  • YouTube, Netflix, Instagram algorithm basics
  • Banking login validation

Topics

  • Functions, recursion, lambda
  • File handling
  • Exception handling
  • Object-Oriented Programming
    • Class, Object
    • Inheritance
    • Polymorphism

Subtopics

  • NumPy arrays & mathematical operations
  • Pandas DataFrames
  • Missing value handling
  • Outlier removal
  • Categorical encoding

Assignments

  • Titanic dataset cleaning
  • E-commerce sales data preparation

Use Case

  • Data preprocessing used by Amazon, Flipkart
 

Tools

  • Matplotlib
  • Seaborn

Assignments

  • Covid-19 data visualization
  • Business sales dashboard

Topics

  • Mean, Median, Mode
  • Variance, Standard deviation
  • Hypothesis Testing
    • t-test
    • Chi-square
    • ANOVA

Assignments

  • A/B testing for marketing
  • Sales performance analysis

Supervised Learning

  • Linear Regression
  • Logistic Regression
  • SVM
  • Naive Bayes
  • Decision Tree
  • Random Forest

Unsupervised Learning

  • K-means
  • Hierarchical clustering

Ensemble Methods

  • Bagging
  • AdaBoost
  • Gradient Boosting

Projects

  • House Price Prediction
  • Loan Eligibility Prediction
  • Spam Email Detection
  • Customer Segmentation
  • Movie Recommender System

Use Cases

  • Loan approvals
  • Customer personalization

Subtopics

  • Neural Networks
  • Activation Functions
  • Loss Functions
  • Gradient Descent
  • Backpropagation

Assignment

  • Build a neural network manually (math-based)

Subtopics

  • Convolution
  • Filters & pooling
  • Dropout
  • CNN with Keras

Projects

  • MNIST Digit Recognition
  • Image Classification

Use Case

  • Autonomous vehicle image processing

Topics

  • RNN
  • LSTM
  • Time-series forecasting

Projects

  • Stock Price Prediction
  • Next Word Predictor

Subtopics

  • Tokenization
  • Stemming, Lemmatization
  • Stopwords
  • POS Tagging
  • TF-IDF
  • Word2Vec
  • Sentiment Analysis
  • Named Entity Recognition

Projects

  • Twitter Sentiment Analyzer
  • Resume Keyword Extractor

Topics

  • Image manipulation
  • Edge detection
  • Camera access
  • Object tracking
  • Face detection
  • Object detection

Projects

  • Real-time Face Recognition
  • Object Tracking System

  • AI-Based Loan Approval System
  • Customer Segmentation Dashboard
  • Next Word Prediction AI
  • Face Recognition Attendance System
  • Object Detection Application
  • NLP-Powered Chat Analyzer

How will you get your certificate?

Take the final exam online to complete the Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program after which you will be able to download your certificate from Attitude Trainings

attitude-certificate

Latest Jobs

    No Jobs Founds

How will your training work?

Thought

Classes

Take all of your face to face classes with trainer & get Live Sessions with Trainer for Doubts Clearing

Planning

Exams

Test your knowledge through quizzes & module tests & offline assessment

Implement

Projects

Get hands on practice by doing assignments and project

Result

Certificate

Take the final exam to get certified in Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program

What placement assistance will you receive?

Free Placement Preparation Training

Access to curated Internships & Current Job Openings.

Top performers will be highlighted on Attitude Job portal

Learn & Build Future-Ready Skills with Full Stack AI, ML & Deep Learning

The Full Stack Artificial Intelligence, Machine Learning & Deep Learning Engineering Program at ATTITUDE Academy is an industry-focused training program designed to develop future-ready AI professionals. As a leading training institute in Uttam Nagar and Yamuna Vihar, Delhi, we provide in-depth knowledge of Artificial Intelligence, Machine Learning, and Deep Learning through expert-led, practical, and job-oriented training.

This program emphasizes hands-on learning with real-world projects using Python, data analysis, machine learning algorithms, neural networks, deep learning frameworks, and AI model deployment techniques. Students gain practical exposure to designing, building, training, and deploying intelligent AI systems aligned with modern industry requirements.

Our AI, Machine Learning & Deep Learning classes in Uttam Nagar and Yamuna Vihar offer project-based learning, internship assistance, 100% job support, and lifetime access to study materials. With experienced industry trainers, flexible batch options, and live project exposure, ATTITUDE Academy prepares learners for successful careers in Artificial Intelligence Engineering, Machine Learning Development, Data Science, and Deep Learning research roles.

How will your doubts get solved?

You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.

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