Master Artificial Intelligence & Machine Learning With Real-World Projects

Kickstart your career in AI & Machine Learning with a practical, industry-focused course designed for beginners and working professionals. Learn Python, data preprocessing, machine learning algorithms, deep learning, neural networks, and model deployment through hands-on exercises. Build job-ready skills required for roles like AI Engineer, ML Developer, Data Analyst, Data Scientist, and Automation Engineer.

₹157,500/Complete Course
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This Course Include

  • Beginning to End
  • Duration 48 hours
  • Last Updated January 15, 2026

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Master AI and machine learning

Curriculum

Step by Step
Introduction to Artificial Intelligence & Machine Learning

This module introduces artificial intelligence and machine learning concepts, real-world applications, and industry use cases. Learners understand how intelligent systems learn, adapt, and solve complex problems.

AI & Machine Learning Fundamentals

Learn core AI and machine learning concepts, terminology, and workflows. Understand differences between AI, ML, and deep learning, along with how data powers intelligent decision-making systems.

Data Preparation & Feature Engineering

Understand data collection, cleaning, preprocessing, and feature engineering techniques. Learn how high-quality data improves model accuracy and performance in real-world machine learning applications.

Machine Learning Algorithms

Learn supervised and unsupervised machine learning algorithms including regression, classification, and clustering. Understand model training, evaluation techniques, and selecting appropriate algorithms for specific problems.

Model Training, Evaluation & Optimization

Learn model training workflows, performance metrics, and optimization techniques. Understand overfitting, validation, hyperparameter tuning, and improving model accuracy for production-ready machine learning systems.

Real-World AI Applications & Deployment

Explore real-world AI applications and deployment basics. Learn how models are integrated into applications, monitored, and scaled to deliver intelligent, reliable, and impactful business solutions.

The AI/ML course is designed to give you a strong foundation in Artificial Intelligence and Machine Learning through a perfect blend of theory, hands-on practice, and real-world applications. You will learn how machines understand data, identify patterns, make predictions, and solve complex business problems using modern algorithms and tools.

Throughout the course, you will explore essential concepts like data preprocessing, supervised and unsupervised learning, model building, deep learning, and neural networks. Each module includes practical exercises, projects, and case studies to help you confidently apply AI/ML techniques in real-time scenarios.

This course is ideal for students, IT professionals, developers, and tech enthusiasts who want to build skills for roles such as AI Engineer, Machine Learning Engineer, Data Analyst, or Data Scientist. No advanced math background is required — we start from fundamentals and gradually progress to advanced concepts.

By the end of the course, you’ll be able to build machine learning models from scratch, analyze datasets, work with Python libraries, create deep learning projects, and deploy AI-powered applications.

What Will You Learn?

  • Understand the fundamentals of Artificial Intelligence & Machine Learning.
  • Learn Python programming for data analysis and model building.
  • Work with essential libraries like NumPy, Pandas, Matplotlib & Scikit-Learn.
  • Build and train supervised & unsupervised machine learning models.
  • Perform data cleaning, preprocessing, feature engineering & evaluation.
  • Create end-to-end ML projects using real-world datasets.
  • Gain hands-on experience with regression, classification & clustering.
  • Understand neural networks and basics of deep learning.
  • Build simple deep learning models using TensorFlow or PyTorch.
  • Solve real-time business problems using AI/ML techniques.
  • Learn how to deploy ML models using Flask or Streamlit.
  • Downloadable datasets, code files & project templates.
  • Learn to automate tasks, make predictions & interpret ML results.
  • Explore career paths like ML Engineer, Data Scientist & AI Developer.
  • Understand industry practices and how AI/ML is used in companies.
  • Communicate effectively with data teams and stakeholders.

Requirements

  • A basic computer or laptop with internet access.
  • No prior programming or technical background is required.
  • Basic familiarity with using a computer (files, folders, installing software).
  • All required tools like Python, Jupyter Notebook, and libraries will be guided step-by-step.
  • No previous AI or Machine Learning experience is needed.
Prachi Shukla Tripathi

Prachi Shukla Tripathi

Marketing & Growth Strategist