Deep Learning Azure

Course Description

Unlock the power of artificial intelligence with Deep Learning A-Z™, a comprehensive, hands-on course that guides you through the core concepts and real-world applications of artificial neural networks (ANNs). Designed for both beginners and intermediate learners, this course focuses on practical implementation using Python and popular libraries like TensorFlow and Keras.

From building simple neural networks to designing complex deep learning architectures, you’ll gain a deep understanding of how machines learn and how to apply these techniques to real-world problems in finance, healthcare, marketing, and beyond.

Certification

Upon successful completion, you’ll receive a certificate that validates your expertise in deep learning and artificial neural networks — a valuable asset for job applications, LinkedIn profiles, and career advancement.

Who This Course is for

• Data scientists and machine learning enthusiasts

• Python developers looking to expand into AI and deep learning

• Students and professionals aiming for a career in AI/ML

• Engineers and analysts working on predictive modeling and automation

• Anyone who wants to master neural networks through real projects, not just theory

What You’ll Learn

• The theory behind artificial neural networks, including forward and backward propagation

• How to implement ANNs using TensorFlow and Keras

• Building convolutional neural networks (CNNs) for image processing tasks

• Using recurrent neural networks (RNNs) and LSTMs for time-series and sequence data

• Preventing overfitting with dropout, regularization, and batch normalization

• Real-world applications: fraud detection, image classification, stock price prediction, and more

• Hyperparameter tuning, model evaluation, and optimization techniques

• End-to-end projects with datasets to solidify your understanding

Tools & Libraries Covered

• Python 3.x

• TensorFlow

• Keras

• NumPy, Pandas

• Matplotlib & Seaborn

• Google Colab / Jupyter Notebook