Inteligência Artificial Moderna
Learn deep learning with Keras, Google Colab & HuggingFace! Build powerful AI applications. Practical skills for beginners to advanced learners.
Course Content
Inteligência Artificial Moderna is an all-levels Udemy course taught by Luís Cunha, PhD. It runs 14h 53m, is taught in Portuguese, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 12 reviews, with 95 students enrolled. It is a paid course, last updated June 2024.
Explore the world of modern Artificial Intelligence (AI) and unlock its potential with this practical course! You'll delve into the core principles and real-world applications of AI, with a strong focus on Deep Learning and Transformers – the powerful engines behind models like GPT.
This course provides a hands-on approach using the Keras library, designed to simplify Deep Learning model building. Whether you're a beginner or an experienced practitioner, Keras offers a user-friendly interface and powerful features.
We'll explore exciting applications of AI across diverse fields, including:
- Healthcare: Discover how AI is revolutionizing medical diagnosis and treatment.
- Art: Learn about AI-generated art and creative applications.
- Finance: Understand AI's role in financial modeling and risk management.
- And much more!
Free GPU Power with Google Colab: Enjoy a seamless learning experience using Google Colab, a platform offering free GPU access – no complex setup or credit card information required (just a Google account!).
Cutting-Edge Techniques: We'll start with foundational examples based on open-source code from François Chollet, the creator of Keras. The course will progressively incorporate advanced techniques leveraging platforms like HuggingFace and the latest Keras 3.0, which supports multiple Deep Learning frameworks including TensorFlow, JAX, and PyTorch.
Master Multiple Frameworks with Keras: A key advantage of learning Keras is its ability to streamline your workflow. You'll gain the ability to work with popular Deep Learning frameworks without needing to master the intricacies of each. Learn a single, consistent syntax (Keras) and enjoy the flexibility to choose the underlying framework that best suits your needs – whether it's the widely adopted TensorFlow, the increasingly popular PyTorch, or the performance-focused JAX used by leading companies like OpenAI.
Continuously Updated Content: This course is committed to staying current. Expect regular updates incorporating the latest industry advancements, academic research, and feedback from students. Your input is valued and will shape the course's future! Share your suggestions and requests in the public course forum or via direct messages.
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