Curriculum
- 8 Sections
- 7 Lessons
- 10 Weeks
Expanse all sectionsCollapse all sections
- Module 11
- Module 21
- Module 31
- Module 41
- Module 51
- Module 61
- Module 71
- Exams and Certification1
Requirements
- Artificial Intelligence (AI) and Machine Learning (ML) are two of the most important and rapidly evolving fields in computer science today. This course will provide a comprehensive overview of AI and ML principles, algorithms, technologies, applications, and more. We will focus on understanding how to apply AI and ML concepts to solve problems in various industries. The course objectives include understanding AI technologies; exploring technical aspects such as supervised learning, unsupervised learning, deep learning, reinforcement learning; applying AI/ML to real-life scenarios; developing machine learning models; utilizing cloud computing platforms for data processing; using open-source libraries for big data analysis; and much more. By the end of the course you should have a good working knowledge of both AI and ML fundamentals that can be applied to solve business problems with data-driven insights.
Features
- Understand the basics of artificial intelligence and machine learning
- Analyze data to create insights by applying predictive techniques
- Use programming language for AI/ML applications
- Develop projects using AI/ML algorithms and frameworks
Target audiences
- The Artificial Intelligence & Machine Learning Course on Udeme.us is designed for learners who possess a basic understanding of programming and a keen interest in delving into the transformative realms of AI and ML. This course is ideal for aspiring data scientists, software engineers, computer science students, and professionals seeking to upskill in cutting-edge technologies. Whether you're a beginner looking to grasp the fundamentals or an intermediate learner aiming to deepen your knowledge, this course caters to a diverse audience. With hands-on projects and practical applications, it ensures that participants gain the skills necessary to navigate the evolving landscape of AI and ML confidently.