This course introduces the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML). Participants will explore key AI techniques, supervised and unsupervised learning, neural networks, and real-world AI applications.
This course introduces the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML). Participants will explore key AI
This course introduces the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML). Participants will explore key AI techniques, supervised and unsupervised learning, neural networks, and real-world AI applications.
1. Understand the fundamentals of AI and Machine Learning.
2. Explore key AI techniques such as neural networks and deep learning.
3. Identify real-world applications of AI in different industries.
4. Develop a basic understanding of supervised and unsupervised learning.
5. Recognize ethical considerations in AI implementation.
1. Explain AI and Machine Learning fundamentals.
2. Identify real-world applications of AI.
3. Differentiate between supervised and unsupervised learning.
4. Apply basic AI concepts in problem-solving.
5. Evaluate ethical considerations in AI implementation.
1. Business professionals exploring AI applications
2. IT and data science beginners
3. Digital transformation consultants
4. Product managers
5. AI enthusiasts.
