Course description

Master In-Demand Machine Learning Skills in Just 45 Days

Machine Learning is one of the most sought-after tech skills in today’s data-driven world. This 45-day intensive training by SkillUpgrades is designed to help you learn and apply machine learning concepts using Python and real-world data.

Whether you're a beginner or looking to upskill, you’ll explore everything from data cleaning and visualization to building predictive models and deploying them in real-life use cases — all through hands-on sessions.

What You’ll Learn

  • Introduction to Machine Learning and its types
  • Python for ML: NumPy, Pandas, and Matplotlib
  • Data preprocessing, handling missing values, and scaling
  • Supervised Learning: Linear Regression, Logistic Regression
  • Classification: Decision Trees, KNN, Random Forest, SVM
  • Unsupervised Learning: Clustering (K-Means, Hierarchical)
  • Dimensionality reduction using PCA
  • Model evaluation and cross-validation
  • Hyperparameter tuning and optimization
  • Real-world project implementation with Scikit-learn
  • Basics of model deployment using Flask

Course Highlights

  • 45-day fast-track practical training
  • Learn using industry-relevant datasets
  • Real-time assignments and projects
  • Certificate of Completion
  • Suitable for academic and career portfolios
  • Python-based instruction using Jupyter Notebooks

Who Should Enroll

  • Beginners in AI & ML
  • Engineering and CS/IT students
  • Data analysts and Python developers
  • Working professionals transitioning into data science
  • Freelancers and automation enthusiasts

Requirements

  • Basic understanding of Python programming
  • A laptop/PC with internet access
  • Eagerness to work with data and algorithms

What will i learn?

  • Understand the core concepts of Machine Learning.
  • Preprocess data and engineer features for ML models.
  • Train and evaluate supervised & unsupervised models.
  • Work with Python and ML libraries to build AI applications.
  • Kickstart a career in AI, ML, or Data Science.

Requirements

  • A computer with Python installed.
  • Interest in artificial intelligence, data science, and automation.
  • Basic knowledge of math (algebra, probability, and statistics) (recommended but not mandatory).

Frequently asked question

Basic knowledge of Python is recommended but not mandatory.

You'll work with Python, NumPy, Pandas, Scikit-Learn, TensorFlow, and PyTorch.

Yes! The course includes hands-on projects in prediction, classification, and clustering.

Yes! You’ll earn a Machine Learning Fundamentals Certificate upon completion.

This course prepares you for roles like ML Engineer, Data Scientist, AI Developer, and Research Analyst.

Ajay Kumar

Ajay is a highly versatile and innovative AI & Full Stack Developer with over 7 years of professional experience across a broad range of technologies. With deep expertise in Python, Node.js, Express, React, Angular, Java, .NET, and Shopify, Ajay has led end-to-end development of scalable web and AI-powered applications for startups, enterprises, and e-commerce platforms.A strong advocate of cutting-edge technology, Ajay is proficient in Generative AI models, including prompt engineering, API integration (OpenAI, LangChain), and building intelligent chatbots and automation tools. He also brings advanced skills in AI/ML model development using Python-based libraries such as TensorFlow, PyTorch, and Scikit-learn.Ajay is also a seasoned developer on Shopify, crafting optimized, responsive, and customized online stores that drive sales and enhance customer experiences.Whether it's building dynamic SPAs using React or Angular, creating REST APIs with Node/Express, deploying .NET backend systems, or integrating AI into real-world workflows — Ajay delivers with speed, accuracy, and innovation.Key Skills:AI & Machine Learning: Python, TensorFlow, Scikit-learn, OpenAI APIs, Generative AIFront-end: React.js, Angular, HTML5, CSS3, JavaScriptBack-end: Node.js, Express.js, Java (Spring), .NET (C#)E-commerce: Shopify Development, Liquid Template Language, Custom App IntegrationDatabases: MongoDB, MySQL, PostgreSQLTools & DevOps: Git, Docker, Firebase, RESTful APIs, PostmanProject Delivery: Agile/Scrum, Client Communication, MVP LaunchAchievements:Developed and deployed 90+ full-stack and AI-based applicationsSuccessfully integrated Generative AI into business workflows, saving 40% in process timeBuilt 120+ Shopify stores with custom themes and advanced featuresLed AI and web projects for clients in healthcare, fintech, and e-commerce domainsMentored junior developers and led cross-functional tech teams

₹24999

₹49999

Lectures

18

Skill level

Intermediate

Expiry period

12 Months
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