Introduction
This course provides an introduction to the fundamentals of machine learning (ML) and artificial intelligence (AI). Participants will gain foundational knowledge and practical skills to understand the basics of ML and AI, their applications, and their impact on various industries.
Duration
5 Days
Target Audience
- Aspiring data scientists
- Professionals interested in AI and ML
- Beginners looking to start a career in AI and ML
- Individuals seeking to understand the basics of AI and ML
Personal Impact
- Gain essential skills in machine learning and AI.
- Ability to apply basic ML techniques in practical scenarios.
- Understand AI concepts and their implications for personal projects and career growth.
Organizational Impact
- Enhance decision-making processes through applied ML and AI techniques.
- Improve operational efficiency and innovation potential.
- Foster a culture of continuous learning and technological advancement within the organization.
Course Level:
Course Objectives
- Understand the principles and concepts of machine learning and artificial intelligence.
- Apply basic machine learning techniques to real-world problems.
- Identify opportunities for AI application in different domains.
- Interpret and evaluate basic machine learning models.
- Discuss ethical considerations and implications of AI and ML technologies.
Module 1: Introduction to Machine Learning and AI
- Definition and Scope of ML and AI
- Historical Perspective and Evolution
- Applications of ML and AI in Industry
Module 2: Basic Concepts in Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Training and Testing Data Sets
- Performance Metrics in ML
Module 3: Machine Learning Algorithms
- Linear Regression and Classification
- Clustering Algorithms
- Introduction to Neural Networks
Module 4: AI Applications and Case Studies
- Natural Language Processing (NLP)
- Computer Vision Applications
- AI in Business and Healthcare
Module 5: Ethics and Future Trends in AI
- Ethical Considerations in AI and ML
- Regulatory and Privacy Issues
- Future Trends and Career Opportunities in AI
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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