Machine Learning & Deep Learning
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By
SKILL EDGE ACADEMY
- 09/Oct/2025
- 0 Students
Course Description
Unlock the power of artificial intelligence with our Machine Learning & Deep Learning Course. Designed for beginners and tech enthusiasts alike, this course takes you from foundational AI concepts to advanced neural network applications.
You’ll learn how to:
Understand supervised, unsupervised, and reinforcement learning.
Build predictive models using Python and key ML libraries.
Design and train neural networks for image and language tasks.
Explore cutting-edge tools like TensorFlow, Keras, and Scikit-learn.
Apply deep learning in real-world scenarios such as healthcare, finance, and automation.
By the end of the course, you’ll be able to develop and deploy intelligent systems capable of learning from data—preparing you for a career in data science, AI engineering, or research.
Course Curriculum
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What is Artificial Intelligence, Machine Learning, and Deep Learning?
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ML in real-world applications
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Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
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The ML workflow and pipeline
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Tools and libraries: Python, NumPy, Pandas, Scikit-learn
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Install Python and Jupyter Notebook; run your first ML “Hello World” example.
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Autoencoders and Dimensionality Reduction
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Generative Adversarial Networks (GANs)
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Transformers and Attention Mechanisms
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Introduction to Large Language Models (LLMs)
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Case Studies in Deep Learning Applications
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Case Studies in Deep Learning Applications
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Generate synthetic images using a simple GAN model.
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Integrating ML and DL in real-world applications
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Project planning and dataset selection
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Model training, testing, and deployment
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Documentation and presentation of results
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Career pathways in ML/DL, freelancing, and research
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Build and deploy a full end-to-end ML/DL project (e.g., image classifier, chatbot, or predictive model).
SKILL EDGE ACADEMY
₦35,000.00
Course includes:
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Level
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Expert
Beginner
Intermediate
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Duration
2190h
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Lessons
73
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Quizzes
0
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Certifications
Yes
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Language
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English