Artificial Intelligence (AI) is the branch of computer science focused on building systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, and problem-solving
What You'll Learn
Implement fundamental AI search algorithms including breadth-first search, depth-first search, A* search, and minimax with alpha-beta pruning.
Apply probability theory and Bayesian networks for reasoning under uncertainty and building intelligent decision-making systems.
Design and evaluate AI agents using first-order logic, knowledge representation, and inference rules for problem-solving.
Develop real-world AI applications integrating natural language processing techniques and computer vision fundamentals.
Prerequisites
Foundational Mathematics: Understanding of linear algebra (vectors, matrices), calculus (derivatives), and probability/statistics. Basic Programming: Proficiency in Python programming (variables, loops, functions, data structures like lists/dictionaries). Data Handling: Familiarity with basic data manipulation libraries (e.g., Pandas, NumPy) is highly beneficial.
Course Content
0 lessonsAI/ML
Tochukwu Udeh
Lead Instructor
About the Instructor
Improving lives, unlocking potentials and fulfilling destinies
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Duration
80.00 hours
Level
Beginner
Lessons
0
Grading Breakdown
Assignments
40.00%
Quizzes
40.00%
Attendance
20.00%
Certificate
Yes
