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The Complete 2024 Web Development Bootcamp

Complete Deep Learning Course to Master Data science, Tensorflow, Artificial Intelligence, and Neural Networks.
class10
classAI Tech
classBeginner
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Michael Tinangon

Profesional Experience:

- S1 in Computer science from ITB.
- 5 years of working experience.
- Worked on more than 25 projects.

Course Content

- Understanding the basics of AI.
- History and evolution of AI.
- Applications of AI in modern society.

- What is Machine Learning?
- Supervised vs. Unsupervised Learning.
- Key algorithms in Machine Learning.

- Introduction to neural networks.
- The concept of deep learning.
- Applications of deep learning.

- What is NLP?
- Common NLP tasks: tokenization, parsing, sentiment analysis.
- Real-world applications of NLP.

- Overview of computer vision.
- Image classification and object detection.
- Role of computer vision in AI.

- Understanding ethical concerns in AI.
- Bias and fairness in AI algorithms.
- Privacy and security implications.

- What is reinforcement learning?
- Key concepts: agents, states, actions, rewards.
- Applications of reinforcement learning.

- Introduction to AI in robotics.
- Key challenges in robotic AI.
- Case studies: self-driving cars and drones.

- Popular AI libraries: TensorFlow, PyTorch.
- Overview of AI platforms and tools.
- Choosing the right tool for your project.

- Emerging trends in AI research.
- The role of AI in future technologies.
- Preparing for the AI-driven world.