Training on Introduction to Artificial Intelligence (AI) Concepts
Build a solid foundation in AI concepts, history, and principles. Understand AI approaches, capabilities, and ethical considerations.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course provides a solid foundation in artificial intelligence concepts, covering the history, core principles, and key techniques of AI. Participants will gain a broad understanding of different AI approaches, their capabilities and limitations, and the ethical considerations surrounding AI development and deployment.
Who Should Attend:
- IT professionals and software developers
- Data analysts and business intelligence professionals
- Engineers and technical staff
- Recent graduates and career changers entering AI
- Project managers and technical leads
What you'll walk away with
- To build a solid understanding of AI concepts and principles
- To provide an overview of AI techniques and applications
- To enable participants to evaluate AI technologies
- To lay the foundation for advanced AI and ML learning
What we cover, module by module
Module 1: Introduction to AI: History and Core Concepts
- History and evolution of AI
- Defining AI: narrow AI, general AI, and superintelligence
- AI approaches: symbolic AI, connectionist AI, and hybrid AI
- Overview of AI subfields: ML, NLP, computer vision, robotics
- Key AI concepts and terminology
- Case Study: Analyzing the evolution of an AI technology
Module 2: Machine Learning Fundamentals
- Introduction to machine learning
- Types of machine learning: supervised, unsupervised, reinforcement
- Key machine learning concepts: training, testing, validation
- Overview of common machine learning algorithms
- Machine learning workflow and lifecycle
- Case Study: Understanding a machine learning application
Module 3: Data for AI: Collection, Preparation, and Quality
- The role of data in AI
- Data collection and data sources
- Data preparation and cleaning techniques
- Data quality and its impact on AI
- Data privacy and ethical data handling
- Case Study: Preparing data for an AI project
Module 4: AI Applications and Use Cases
- AI applications in different industries
- AI for automation and optimization
- AI for prediction and decision-making
- AI for personalization and customer experience
- AI for innovation and new product development
- Case Study: Identifying AI applications for a specific domain
Module 5: AI Ethics, Bias, and Responsible AI
- Understanding AI ethics and responsible AI
- Identifying and mitigating algorithmic bias
- Ensuring AI fairness, accountability, and transparency
- Privacy and security considerations in AI
- Building responsible AI practices
- Case Study: Analyzing ethical issues in an AI application
Where the change lands
Organizational Impacts:
- Enhanced AI literacy across technical teams
- Improved ability to identify AI opportunities
- Reduced risk of AI project failures due to foundational gaps
- Stronger foundation for advanced AI training
Individual Impacts:
- Understanding of AI concepts, history, and principles
- Knowledge of different AI techniques and approaches
- Ability to evaluate AI technologies and applications
- Foundation for further AI and ML learning
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
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For corporate teams
Training 10+ professionals?
We deliver Training on Introduction to Artificial Intelligence (AI) Concepts in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.