Become a Full Stack AI Engineer: Deep Learning Unleashed

The “Full Stack AI Engineer 2026 – Deep Learning – II” course is designed for those who wish to delve deep into the world of artificial intelligence and deep learning. With AI rapidly becoming a crucial competency in tech, this course equips you with the essential knowledge and practical skills required to build, manage, and optimize deep learning systems.

Starting from the ground up, you’ll gain insights into neural networks and their components, such as artificial neurons and activation functions. Instead of rote learning, you will develop a real-world understanding through engaging visual explanations and hands-on coding exercises. By understanding the mechanics of forward propagation and loss functions, you’ll establish a solid foundation that will serve you throughout your learning journey.

As you progress, you’ll transition into practical applications using PyTorch. From constructing neural networks from scratch to executing end-to-end training pipelines, this course is heavily focused on practicality. You’ll learn how to train deep neural networks diligently, handle overfitting with advanced techniques, and become adept at model evaluation and improvement. Elevate your skills as you implement fully connected networks, CNNs for image classification, and employ RNNs for sequence prediction. Ultimately, this course ensures that you’re not just learning about deep learning—you’ll be ready to work like a professional deep learning engineer.

What you will learn:

• Build deep learning models from scratch using PyTorch with a strong engineering foundation
• Understand and apply neural networks, backpropagation, and optimization effectively
• Train, evaluate, and improve models using regularization and generalization techniques

Course Content:

• Sections: 9
• Lectures: 45
• Duration: 6h 6m

Requirements:

• Build CNNs and sequence models for real-world vision and time-series tasks.
• Apply CNNs and sequence models to solve real image and time-series problems end-to-end.

Who is it for?

• Machine learning engineers who want to deepen their understanding of deep neural networks
• Software engineers transitioning into AI and deep learning roles
• Data scientists looking to build production-ready deep learning models
• Students and graduates preparing for AI, ML, or deep learning interviews

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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