Machine Learning & Deep Learning in Python

Machine Learning & Deep Learning with Python is an in-depth course designed to provide a comprehensive understanding of the fundamental concepts and practical applications of machine learning and deep learning using the Python programming language. This course covers the theory, algorithms, and tools required to build and deploy machine learning models for various real-world applications.

Course Objectives:

  1. Understand the Fundamentals: Gain a strong foundation in machine learning and deep learning principles, including supervised and unsupervised learning, neural networks, and deep learning architectures.
  2. Hands-on Experience: Develop practical skills in Python programming for machine learning and deep learning, including data preprocessing, model training, and evaluation.
  3. Apply Algorithms: Learn to apply a variety of machine learning and deep learning algorithms, such as regression, classification, clustering, and convolutional and recurrent neural networks.
  4. Data Handling: Master data preparation techniques, including data cleaning, feature engineering, and working with different data types.
  5. Model Evaluation: Explore methods for evaluating and fine-tuning machine learning models to ensure optimal performance.
  6. Real-World Applications: Explore real-world applications of machine learning and deep learning, such as image recognition, natural language processing, and recommendation systems.
  7. Tools and Frameworks: Familiarize yourself with popular Python libraries and frameworks, such as scikit-learn, TensorFlow, and Keras, for building and deploying machine learning models.
  8. Ethical Considerations: Discuss ethical and responsible AI practices, including bias, fairness, and privacy concerns in machine learning applications.
  9. Project Work: Apply your knowledge through hands-on projects, building and deploying machine learning models on real datasets.

Course Prerequisites:

  • Python Basic
  • Basic Mathematics and Statistics
  • Programming Experience

Target Audience:

This course is suitable for individuals with a variety of backgrounds, including but not limited to:
  • Data Analysts and Data Scientists looking to enhance their machine learning skills.
  • Software Developers interested in transitioning to machine learning and deep learning roles.
  • Business and IT professionals seeking to understand the practical applications of AI and machine learning in their industries.
  • Researchers and academics exploring the latest advancements in machine learning and deep learning.
  • Enthusiasts and hobbyists interested in diving into the world of AI and data science.

By the end of this course, participants will have the knowledge and practical skills necessary to work on machine learning and deep learning projects and integrate these techniques into their professional or academic endeavors.

Course Summary

Course Fee

৳ 15,000

Training Method


Total Modules


Course Duration

72 Hours

Total Session


Class Duration

2 Hours

Details Course Outlines - Machine Learning


Programming with Python and Related Libraries of MachineLearning


Traditional Machine Learning Algorithms and Projects


Concepts and Uses of Deep Learning and Real Life Projects