Tutorspace
The Complete 2024 Web Development Bootcamp
Complete Deep Learning Course to Master Data science, Tensorflow, Artificial Intelligence, and Neural Networks.
10
AI Tech
Beginner
Enroll Now
Michael Tinangon
Profesional Experience:
-
S1 in Computer science from ITB.
-
5 years of working experience.
-
Worked on more than 25 projects.
The Complete 2024 Web Development Bootcamp
Complete Deep Learning Course to Master Data science, Tensorflow, Artificial Intelligence, and Neural Networks.
10
AI Tech
Beginner
Enroll Now
Michael Tinangon
Profesional Experience:
-
S1 in Computer science from ITB.
-
5 years of working experience.
-
Worked on more than 25 projects.
Michael Tinangon
Profesional Experience:
-
S1 in Computer science from ITB.
-
5 years of working experience.
-
Worked on more than 25 projects.
Course Content
Chapter 1 - Introduction to Artificial Intelligence
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Understanding the basics of AI.
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History and evolution of AI.
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Applications of AI in modern society.
Chapter 2 - Machine Learning Fundamentals
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What is Machine Learning?
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Supervised vs. Unsupervised Learning.
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Key algorithms in Machine Learning.
Chapter 3 - Deep Learning Basics
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Introduction to neural networks.
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The concept of deep learning.
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Applications of deep learning.
Chapter 4 - Natural Language Processing (NLP)
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What is NLP?
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Common NLP tasks: tokenization, parsing, sentiment analysis.
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Real-world applications of NLP.
Chapter 5 - Computer Vision
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Overview of computer vision.
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Image classification and object detection.
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Role of computer vision in AI.
Chapter 6 - Ethics in AI
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Understanding ethical concerns in AI.
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Bias and fairness in AI algorithms.
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Privacy and security implications.
Chapter 7 - Reinforcement Learning
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What is reinforcement learning?
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Key concepts: agents, states, actions, rewards.
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Applications of reinforcement learning.
Chapter 8 - AI in Robotics
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Introduction to AI in robotics.
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Key challenges in robotic AI.
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Case studies: self-driving cars and drones.
Chapter 9 - AI Tools and Frameworks
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Popular AI libraries: TensorFlow, PyTorch.
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Overview of AI platforms and tools.
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Choosing the right tool for your project.
Chapter 10 - The Future of AI
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Emerging trends in AI research.
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The role of AI in future technologies.
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Preparing for the AI-driven world.