Certification In AI And Machine Learning
Exploring the world of AI through hands-on projects and real-world applications.
Our AI and Machine Learning course introduces students to the principles and techniques of AI. Through hands-on projects, students will learn how to develop machine learning models and implement AI solutions.
Target Audience:
- Individuals interested in pursuing a career in AI and machine learning.
- Data scientists seeking to enhance their skill set.
- Professionals looking to implement AI solutions in their organizations.
- Students studying computer science or related fields.
Learning Objectives:
- Understand the fundamentals of artificial intelligence and machine learning.
- Learn to preprocess and analyze data for machine learning.
- Develop and evaluate machine learning models.
- Implement AI algorithms in real-world applications.
- Explore ethical considerations in AI development.
Course Outline:
- Module 1: Introduction to AI and Machine Learning
- Module 2: Data Preprocessing and Exploration
- Module 3: Supervised Learning Algorithms
- Module 4: Unsupervised Learning Techniques
- Module 5: Neural Networks and Deep Learning
- Module 6: Model Evaluation and Tuning
- Module 7: AI in Real-World Applications
- Module 8: Capstone Project: Implementing an AI Solution
Course Duration:
Duration: This course spans over 6 months with a commitment of 2 hours per day, 5 days a week.