Artificial Intelligence Course Description

Description:

The AI course is a comprehensive program crafted to equip students with foundational and advanced skills in artificial intelligence. Designed by experts to address both theoretical and practical aspects, the course covers core topics such as machine learning, data processing, and neural networks, providing hands-on experience with real-world applications.

The primary objective of this course is to develop students’ ability to solve complex problems using AI technologies, fostering skills that are highly valuable in today’s digital economy. By focusing on practical knowledge and industry-relevant tools, the course prepares students to enter various fields where AI plays a critical role, from healthcare to finance and beyond.

Through this course, we aim to cultivate a generation of tech-savvy innovators who can leverage AI to drive positive change, contribute to technological advancement, and enhance community economic development. Graduates will be equipped to pursue career opportunities and entrepreneurial paths in high-demand AI sectors.

Artificial Intelligence Foundation Course

Duration: Approximately 25 hours 

Fee: USD 100 

Introduction: For the Foundation Level AI Course, the focus should be on introducing students to the fundamental concepts of Artificial Intelligence, including basic algorithms, data handling, and machine learning principles. The course will also provide hands-on experience with tools like Python and libraries such as NumPy, Pandas, and Scikit-learn. Below is the breakdown of the course material for the foundation level.

Course Modules: 

  • Module 1: Introduction to Artificial Intelligence
  • Module 2: Introduction to Python for AI
  • Module 3: Data Science Fundamentals
  • Module 4: Introduction to Machine Learning
  • Module 5: Introduction to Neural Networks
  • Module 6: Introduction to Natural Language Processing (NLP)
  • Module 7: AI Ethics and Governance
  • Module 8: Project – Building a Simple AI Model

Summary: This foundation-level AI course introduces students to the key concepts, tools, and applications of AI, ensuring they gain a strong understanding of the basics and practical skills to move forward into more advanced topics in the future.

Artificial Intelligence Core Level Course

Duration: Approximately 25 hours 

Fee: USD 100 

Introduction: For the Core Level AI Course, the material should focus on more advanced concepts, building on the foundation of artificial intelligence and machine learning. Students should gain a deeper understanding of key AI techniques, including advanced machine learning algorithms, neural networks, and practical applications like computer vision and natural language processing. Hands-on projects will focus on real-world AI applications. 

Course Modules: 

  • Module 1: Advanced Machine Learning Algorithms
  • Module 2: Deep Learning Fundamentals
  • Module 3: Introduction to Natural Language Processing (NLP) Techniques
  • Module 4: Computer Vision and Convolutional Neural Networks (CNNs)
  • Module 5: Reinforcement Learning Basics
  • Module 6: Model Evaluation and Hyperparameter Tuning
  • Module 7: AI Ethics and Responsible AI Development
  • Module 8: Project – Solving a Real-World AI Problem

Summary: This core-level AI course provides a deeper dive into advanced machine learning algorithms, deep learning, NLP, reinforcement learning, and practical applications. The capstone project ensures that students can apply what they’ve learned in a real-world scenario, solidifying their understanding of core AI concepts.

Artificial Intelligence Advanced Level Course

Duration: Approximately 25 hours 

Fee: USD 150 

Introduction: For the Advanced Level AI Course, the material should focus on cutting-edge techniques and technologies in AI, building on foundational and core-level knowledge. This level emphasizes more complex AI models, optimization strategies, large-scale applications like generative models, deep reinforcement learning, and AI-driven innovations. Students will also work on large-scale projects involving real-world challenges, preparing them for specialized AI roles in industries.

Course Modules: 

  • Module 1: Advanced Neural Networks and Architectures
  • Module 2: Generative Models and GANs
  • Module 3: Deep Reinforcement Learning
  • Module 4: Natural Language Processing with Transformers
  • Module 5: AI in Computer Vision – Advanced Topics
  • Module 6: Scalable AI Systems and Model Deployment
  • Module 7: AI and Ethics – Bias, Privacy, and Fairness in AI Systems
  • Module 8: AI in Healthcare, Finance, and Autonomous Systems
  • Module 9: Project – Large-Scale AI Solution

During and after every module, there will be assessments. 

Summary: This advanced AI course provides a deep dive into sophisticated AI techniques like advanced neural networks, GANs, reinforcement learning, and model deployment. The capstone project allows students to solve real-world problems using large-scale AI solutions, ensuring they are ready for industry challenges and specialized AI roles.

Assessment Structure: 

Weekly Quizzes (Multiple Choice/Short Answer): 20% 

Assignments and Labs: 40% 

Projects: 40%