AI ML Projects Skills you will learn

  • Machine Learning Algorithms
  • Deep Learning Techniques
  • Natural Language Processing
  • TimeSeries Analysis
  • Model Evaluation and Optimization
  • ProblemSolving

Who should learn this free AI ML Projects course?

  • Machine Learning Engineer
  • Data Scientist
  • NLP Specialist
  • TimeSeries Analyst
  • Automation Engineer

What you will learn in this free AI ML Projects course?

  • AI ML Projects

    • Introduction

      02:55
      • Introduction
        02:55

    • Lesson 1: Face Recognition System

      24:07
      • Face Recognition System
        24:07

    • Lesson 2: Personality Prediction System

      52:29
      • Personality Prediction System
        52:29

    • Lesson 3: Speech Recognition System

      25:17
      • Speech Recognition System
        25:17

    • Lesson 4: Fake News Detection System

      44:34
      • Fake News Detection System
        44:34

    • Lesson 5: Loan Approval Prediction System

      48:21
      • Loan Approval Prediction System
        48:21

    • Lesson 6: Image Classification using CNN

      33:05
      • Image Classification using-CNN
        33:05

    • Lesson 7: Movie Recommendation System Part-1

      35:05
      • Movie Recommendation System Part-1
        35:05

    • Lesson 8: Movie Recommendation System Part-2

      26:22
      • Movie Recommendation System Part-2
        26:22

    • Lesson 9: Time-Series Forecasting Part-1

      31:02
      • Time-Series Forecasting Part-1
        31:02

    • Lesson 10: Time-Series Forecasting Part-2

      37:29
      • Time-Series Forecasting Part-2
        37:29

    • Lesson 11: Text-to-Speech Converter System

      54:36
      • Text-to-Speech Converter System
        54:36

    • Lesson 12: Object Detection System

      26:56
      • Object Detection System
        26:56

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn AI ML Projects?

$503.40 Billion

Expected size of global Data Analytics market by 2030.

$161K+ (USA) | INR 10.2 LPA

Average Salary of a Machine Learning Engineer annually.

About the Course

The AI ML Projects Course is designed to provide hands-on experience in building real-world applications using artificial intelligence and machine learning. Learn to implement algorithms with real-world datasets and solve practical challenges in areas like predictive modeling, natural language processing, image recognition, and recommendation systems. This AI ML projects course equips you with the skills to use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras. Ideal for individuals with a basic understanding of Python and ML concepts, this course helps enhance your portfolio and prepares you for roles such as Data Scientist, Machine Learning Engineer

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FAQs

  • What is the AI ML Projects course about?

    This course focuses on building real-world AI and ML applications, applying concepts like machine learning, deep learning, and data processing through hands-on projects.

  • Who is this course suitable for?

    The course is ideal for individuals with a basic Python and machine learning understanding, including students, professionals, and AI/ML enthusiasts

  • What kind of projects will I work on in this AI ML Projects course?

    You’ll work on projects like predictive modeling, natural language processing, image recognition, recommendation systems, and more.

  • Are there any prerequisites for this course?

    Yes, a foundational knowledge of Python programming and basic machine learning concepts is recommended.

  • Will I use real-world datasets?

    Yes, you’ll work with diverse real-world datasets to build practical AI and ML solutions, gaining valuable experience.

  • How does this AI ML Projects course help in my career?

    The course provides hands-on experience, enhancing your portfolio and preparing you for roles like Data Scientist, Machine Learning Engineer, and AI Developer.

  • What tools and frameworks will I learn?

    You’ll work with tools and frameworks like TensorFlow, PyTorch, Scikit-learn, pandas, NumPy, and Keras for AI and ML projects.

  • Do I need advanced Python knowledge for this AI ML Projects course?

    While advanced Python knowledge is helpful, a basic understanding of Python is sufficient to start the course.

  • Will I receive a certificate after completing this AI ML Projects course?

    Yes, upon successful completion of the course, you’ll receive a certificate to showcase your AI and ML project expertise.

  • Can I use these projects in my portfolio?

    Absolutely! The projects you complete can be added to your portfolio to demonstrate your practical AI and ML skills to potential employers.

Related Courses

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.