Modern Computer Vision & Generative AI with Machine Learning

Modern Computer Vision & Generative AI with Machine Learning

This comprehensive course is designed to empower learners at every level. From mastering image classification to diving deep into generative AI techniques, this course equips you with the tools and knowledge to excel in real-world applications. Featuring hands-on experience with cutting-edge technologies like Stable Diffusion and robust libraries such as KerasCV, TensorFlow, PyTorch, and JAX, this course blends theory with practical implementation for maximum impact.

Who should take the exam?

This course is ideal for learners at all levels with a foundational grasp of machine learning and Python programming. Whether you're a beginner eager to explore computer vision or a professional looking to enhance your skills in generative AI, this course offers a structured and engaging learning experience.

Knowledge Gained

• In-depth understanding of computer vision principles, including image classification and object detection.
• Hands-on expertise in fine-tuning pre-trained models and creating custom datasets.
• Proficiency in generative AI techniques, with a special focus on Stable Diffusion.
• Practical insights into leveraging deep learning frameworks like KerasCV for real-world applications.

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