Artificial Intelligence (AI)
The Artificial Intelligence (AI) course at Intrasoft Institute of Technology (IIT) is designed to introduce learners to the core concepts, techniques, and applications of AI. This course provides a strong foundation in intelligent systems, problem-solving methods, knowledge representation, and expert systems.
Learners will gain practical and theoretical knowledge of how Artificial Intelligence is used in real-world industries such as technology, business, healthcare, robotics, and data-driven decision making. This course is ideal for beginners and aspiring professionals looking to start a career in AI
Course Details
Level
Certificate
Fee
Duration
1 Month
study mode
On-Campus | Online
Course Modules / Course Content
What You Will Learn (Learning Outcomes)
By the end of this Artificial Intelligence course, learners will be able to:
- Understand the meaning, history, and evolution of Artificial Intelligence
- Identify different types and applications of AI systems
- Explain major AI branches, including Machine Learning, NLP, and Computer Vision
- Design and analyse intelligent agents and environments
- Apply AI problem-solving techniques and search algorithms
- Use logical reasoning for knowledge representation
- Understand expert systems and their real-world applications
- Recognise ethical issues and challenges in Artificial Intelligence
Course Modules
Module 1: Introduction to Artificial Intelligence
- Definition and scope of Artificial Intelligence
- History and evolution of AI
- Types of AI systems
- Common AI terminology
- AI tools and frameworks
- Real-world applications of AI
- Ethics, risks, and challenges in AI
Module 2: Branches and Research Areas of AI
- Machine Learning Fundamentals
- Natural Language Processing (NLP)
- Computer Vision
- Robotics and automation
- Neural Networks
- Fuzzy Logic
- Evolutionary computation
- Swarm intelligence
- Cognitive computing
Module 3: Intelligent Systems
- Characteristics of intelligent systems
- Components of intelligent systems
- Types of intelligent systems
Module 4: Agents and Environments
- Concept of intelligent agents
- Types of agents
- Agent environments
- Interaction between agents and environments
Module 5: AI Problem-Solving Techniques
- Search algorithms (BFS, DFS, A*)
- Heuristic search methods
- Constraint Satisfaction Problems (CSP)
- CSP representation and solutions
- Real-world CSP applications
Module 6: Knowledge Representation and Reasoning
- Knowledge-based agents
- Propositional logic
- First-Order Logic (FOL)
- Inference rules
- Forward and backward chaining
- Unification and resolution
Module 7: Expert Systems
- Introduction to expert systems
- Components of expert systems
- Applications of expert systems
- Advantages and limitations
Who Should Enrol
This Artificial Intelligence course is suitable for:
- Beginners interested in AI and emerging technologies
- ICT students and recent graduates
- Professionals seeking AI fundamentals
- Entrepreneurs and innovators exploring AI solutions
Certification
Upon successful completion, learners will receive an Artificial Intelligence Certificate from Intrasoft Institute of Technology (IIT), enhancing their employability and academic progression.
Why Study Artificial Intelligence at IIT
- Industry-relevant curriculum
- Beginner-friendly training approach
- Experienced instructors
- Practical and career-focused learning
- Located in Mombasa, Kenya
Entry Requirements
Basic computer knowledge
No prior experience in Artificial Intelligence required
How to Apply
- Fill in the application form
- Submit required documents
- Complete registration and begin classes