Ai and machine learning with Python

AI (Artificial Intelligence)

Ai and machine learning with Python

This course thoroughly examines Artificial Intelligence (AI) and Machine Learning (ML) utilizing Python. It encompasses fundamental theories, hands-on applications, and advanced methodologies, preparing learners to proficiently comprehend, create, and utilize AI and ML models.

Upon completing the course, participants will have a solid understanding of AI and ML fundamentals and hands-on expertise in deploying diverse Python-based algorithms and methods. They will be ready to take on real-world AI and ML initiatives and pursue further studies or careers in this rapidly evolving domain.

Month 1: Foundations and Basics

Month 2: Advanced Machine Learning and Deep Learning

Month 3: Specialized Topics and Project Development

Final Project Development

- Guided project development

- Mentorship and feedback

Additional Topics and Tools

- Data augmentation

- Hyperparameter tuning

- Model serving and API development

- Popular libraries (OpenCV, PyTorch, Transformers)

Software and Tools

- Python 3.x

- NumPy, Pandas, Matplotlib, Scikit-learn

- TensorFlow or Keras

- PyTorch (optional)

- Jupyter Notebooks

NOW YOU HAVE A CHANCE TO CHANGE YOUR LIFE!

Call or WhatsApp us at +13472190143 or +234902861469, for more info!

Are you a serving corps member? Claim a 20% discount with the COUPON – DCHA-CMP1.

Duration - 12 weeks | classes - 3 classes weekly | Format - physical classes | Learning type - practical |

4.0 (4000 ratings)

Created By

Peter Esiet

Last updated: 2024-11-01 05:36:24

What you get in this course

Gain a comprehensive introduction to AI and ML principles and techniques.

Master Python for ML, explore supervised and unsupervised learning methods.

Dive into deep learning, NLP, and reinforcement learning for complex data analysis.

Apply learned concepts to real-world scenarios through case studies and practical projects.

Course Contents

AI and Machine Learning Introduction

Python Basics for Machine Learning

Supervised Learning Techniques

Unsupervised Learning Approaches

Model Assessment and Validation

Feature Design and Selection

Deep Learning Essentials

Natural Language Processing (NLP)

Reinforcement Learning Concepts

Practical Applications and Case Studies

Course Requirements

Laptop

Basic programming knowledge

Familiarity with Python

Ai and machine learning with Python image

NGN300,000.00

30-day money back guarantee

Course Contains:

24-hours on-demand

10 Sections/Modules

Full life time access

Certificate of completion

Created for empowerment of the new generation

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Karu Abuja: No 1, Carpenter Plaza, Court road, Karu, Ado 900110, Federal Capital Territory.
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