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Transform Your Career
with Our Data Science with AI Program

  • Learn with industry-leading experts in Data Science with AI Program
  • Master Data Science with AI Program in just 6 months with hands-on, practical training
  • Secure your dream IT job with guaranteed placement assistance
Contact an Advisor

How our program works

How our program works

Course Content

1. AI and Machine Learning

  • Python Basics
  • Data Structures
  • OOP Concepts
  • File Handling
  • Exception Handling
  • Statistics
  • Probability
  • Data Analysis
  • Data Visualization
  • Feature Engineering
  • Supervised Learning
  • Unsupervised Learning
  • Model Selection
  • Evaluation Metrics
  • Ensemble Methods
  • Neural Networks
  • CNN
  • RNN & LSTM
  • Transfer Learning
  • Model Deployment
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Time Series Analysis

2. Python for AI

  • Python Basics
  • Data Structures
  • OOP Concepts
  • File Handling
  • Exception Handling
  • Statistics
  • Probability
  • Data Analysis
  • Data Visualization
  • Feature Engineering
  • Supervised Learning
  • Unsupervised Learning
  • Model Selection
  • Evaluation Metrics
  • Ensemble Methods

Program Highlights

  • Duration: 6 months
  • Mode: Online/Offline Classes
  • Hands-on Training: 70% Practical
  • Internship: 1 Month Live Project
  • Placement Support: Included

Learning Outcomes

After completing this course, you will be able to:

  • Build AI/ML models
  • Process and analyze data
  • Create predictive models
  • Implement neural networks
  • Deploy AI solutions
  • Solve real-world problems

Career Opportunities

  • Data Scientist
  • ML Engineer
  • AI Developer
  • Research Scientist
  • Data Engineer

Companies Hiring

  • Tech Giants
  • Research Organizations
  • Banking & Finance
  • Healthcare
  • E-commerce
  • Startups

Training Methodology

1. Conceptual Learning

  • Theory sessions
  • Case studies

2. Practical Implementation

  • Hands-on coding
  • Real datasets
  • Model building

3. Project Work

  • Industry projects
  • Research projects
  • Portfolio development

Placement Preparation

  • Technical Interview Preparation
  • Resume Building
  • Mock Interviews
  • LinkedIn Profile Optimization
  • HR Interview Preparation
  • Soft Skills Development

Prerequisites

  • Basic computer knowledge
  • Understanding of internet concepts
  • Enthusiasm to learn coding
  • Dedication to practice

Certification

  • Course Completion Certificate

Support

  • Interview Preparation
  • Job Referrals

Course Content

1. AI and Machine Learning

  • Python Basics
  • Data Structures
  • OOP Concepts
  • File Handling
  • Exception Handling
  • Statistics
  • Probability
  • Data Analysis
  • Data Visualization
  • Feature Engineering
  • Supervised Learning
  • Unsupervised Learning
  • Model Selection
  • Evaluation Metrics
  • Ensemble Methods
  • Neural Networks
  • CNN
  • RNN & LSTM
  • Transfer Learning
  • Model Deployment
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Time Series Analysis

2. Python for AI

  • Python Basics
  • Data Structures
  • OOP Concepts
  • File Handling
  • Exception Handling
  • Statistics
  • Probability
  • Data Analysis
  • Data Visualization
  • Feature Engineering
  • Supervised Learning
  • Unsupervised Learning
  • Model Selection
  • Evaluation Metrics
  • Ensemble Methods

Program Highlights

  • Duration: 6 months
  • Mode: Online/Offline Classes
  • Hands-on Training: 70% Practical
  • Internship: 1 Month Live Project
  • Placement Support: Included

Learning Outcomes

After completing this course, you will be able to:

  • Build AI/ML models
  • Process and analyze data
  • Create predictive models
  • Implement neural networks
  • Deploy AI solutions
  • Solve real-world problems

Career Opportunities

  • Data Scientist
  • ML Engineer
  • AI Developer
  • Research Scientist
  • Data Engineer

Companies Hiring

  • Tech Giants
  • Research Organizations
  • Banking & Finance
  • Healthcare
  • E-commerce
  • Startups

Training Methodology

1. Conceptual Learning

  • Theory sessions
  • Case studies

2. Practical Implementation

  • Hands-on coding
  • Real datasets
  • Model building

3. Project Work

  • Industry projects
  • Research projects
  • Portfolio development

Placement Preparation

  • Technical Interview Preparation
  • Resume Building
  • Mock Interviews
  • LinkedIn Profile Optimization
  • HR Interview Preparation
  • Soft Skills Development

Prerequisites

  • Basic computer knowledge
  • Understanding of internet concepts
  • Enthusiasm to learn coding
  • Dedication to practice

Certification

  • Course Completion Certificate

Support

  • Interview Preparation
  • Job Referrals

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