Introduction To AI ML
Instructor-led training in Introduction To AI ML. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
The 'Introduction to AI ML' course provides a foundational understanding of artificial intelligence and machine learning concepts, tools, and applications. As these technologies transform industries, gaining insights into their workings is crucial for anyone looking to stay relevant in the tech landscape.
What you'll learn
- You will be able to define key terms and concepts in AI and machine learning.
- You will be able to identify various machine learning algorithms and their use cases.
- You will be able to explain the differences between supervised, unsupervised, and reinforcement learning.
- You will be able to apply basic data preprocessing techniques.
- You will be able to utilize popular AI and ML tools and libraries for simple projects.
- You will be able to evaluate the performance of machine learning models.
- You will be able to discuss ethical considerations in AI applications.
Curriculum
6 modules · outline is indicative and can be tailored to your team.
1Introduction to Artificial Intelligence
- Definition and history of AI
- AI applications in various industries
- Overview of AI technologies
2Understanding Machine Learning
- What is machine learning?
- Types of machine learning: supervised, unsupervised, reinforcement
- Key differences between AI and machine learning
3Data Fundamentals
- Importance of data in AI and ML
- Types of data: structured vs unstructured
- Introduction to data preprocessing
4Machine Learning Algorithms
- Overview of common algorithms: regression, classification, clustering
- How to choose the right algorithm
- Hands-on with a simple algorithm implementation
5Model Evaluation and Improvement
- Metrics for evaluating model performance
- Techniques for improving model accuracy
- Introduction to cross-validation
6AI and Ethics
- Ethical considerations in AI deployment
- Bias in machine learning models
- Responsible AI practices
Prerequisites
No prior experience required.
Who should attend
This course is ideal for beginners interested in exploring artificial intelligence and machine learning.
Certification
Frequently asked questions
What is the format of the course?
The course is instructor-led and delivered live online.
How long is the course?
The course duration is approximately 20 hours, spread over several sessions.
Will I receive a certificate upon completion?
Yes, participants will receive an Skilvi course-completion certificate.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
Do I need to have prior knowledge of programming?
No prior knowledge of programming is required for this beginner course.
Pricing on request
- Live online (VILT)
- 16–24 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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