Artificial Intelligence
In the “AI Basic Course” offered by Ease Earn over 12 weeks, learners can expect to gain a comprehensive understanding of foundational concepts and principles in artificial intelligence.
Here’s an overview of what they will learn week by week:
Week 1-2
Introduction to AI
- Definition and scope of artificial intelligence.
- Historical context and key milestones in AI development.
- Overview of different AI paradigms.
Week 3-4
Machine Learning Fundamentals
- Understanding the basics of machine learning.
- Differentiating between supervised and unsupervised learning.
- Overview of reinforcement learning.
Week 5-6
Introduction to Algorithms
- Basic algorithms used in AI and machine learning.
- Algorithmic decision-making and problem-solving.
Week 7-8
Data and Datasets in AI
- Importance of data in AI applications.
- Exploration of common datasets used in machine learning.
Week 9-10
Neural Networks and Deep Learning
- Basics of neural networks.
- Understanding layers, activation functions, and training.
- Introduction to deep learning concepts.
Week 11-12
Practical Applications and Future Trends
- Real-world applications of AI in various industries.
- Ethical considerations in AI development.
- Emerging trends and future directions in artificial intelligence.
Throughout the course, learners will engage in hands-on exercises, projects, and practical demonstrations to reinforce theoretical knowledge.
The curriculum is designed to provide a strong foundation in AI, preparing participants for more advanced studies or applications in the field.
The course is structured to accommodate learners starting from scratch, ensuring a gradual and thorough learning experience.
Rose Tyler –
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