Free Coupon Deep Learning Specialization: Advanced AI, Hands on Lab

Unlock a coupon code coupon code for the course 'Deep Learning Specialization: Advanced AI, Hands on Lab' by Data Science Academy , School of AI on Udemy!
This highly-rated course boasts a 4.7-star-star rating from 9 reviews and has successfully guided 5,004 students in mastering Data Science skills. Featuring 4 hour(s) 30 minute(s) of expert-led content delivered in English, this course offers thorough training to enhance your Social Science expertise. The course details were last updated on December 24, 2024. This coupon code is brought to you by Anonymous.

• Expired on September 07, 2025
• Last Update: September 07, 2025
• Price: 49.99 $

About This Course

"This course contains the use of artificial intelligence in creating scripts, visuals, audio, and supporting content"

The Deep Learning Specialization: Advanced AI is designed for learners who want to master state-of-the-art deep learning techniques while applying them in practical, hands-on labs every week. This course goes beyond theory — each section includes guided coding labs where you’ll implement algorithms, experiment with models, and solve real-world problems.

You’ll begin with the foundations of neural networks, learning about activation functions, loss functions, and optimization techniques, supported by labs that show you how to build and train models from scratch. You’ll then dive into Convolutional Neural Networks (CNNs), working with classic architectures like LeNet, VGG, and ResNet, and applying them in labs on image classification, object detection, and transfer learning.

Next, you’ll explore sequence models, building RNNs, LSTMs, GRUs, and attention mechanisms, with labs on time-series forecasting, text generation, and attention visualizations. Moving into transformers and NLP, you’ll implement self-attention, experiment with mini-transformers, and work with pretrained models like BERT and GPT, plus labs that explore bias and fairness in NLP systems.

In the second half, you’ll experiment with generative models through labs on autoencoders, VAEs, GANs, and diffusion models for creative AI applications. You’ll then apply reinforcement learning, coding Q-learning, DQNs, and policy gradient methods to train agents in environments like CartPole. Finally, you’ll tackle deployment, explainability, and ethics, with labs on Flask/FastAPI Docker deployment, SHAP/LIME explainability, fairness metrics, and multimodal AI demos.

By the end of this specialization, you’ll not only understand advanced deep learning architectures but will have practical experience from weekly labs to confidently design, train, deploy, and evaluate modern AI systems in real-world contexts.