Introduction to Artificial Intelligence (AI)
- Description
- Reviews
Course Introduction
Welcome to The Introduction to AI Course, a fast-paced 2-week program designed to give learners a solid foundation in Artificial Intelligence. This course is ideal for students, professionals, and tech enthusiasts who want to understand the core principles of AI, its real-world applications, and the technologies powering modern intelligent systems.
Throughout the course, participants will explore the fundamentals of machine learning, neural networks, data processing, and AI use cases across industries. Blending theory with hands-on exercises, the course equips learners with the skills to begin building intelligent solutions and prepares them for further specialization in the AI ecosystem.
After Study Job Opportunities
- AI/ML Intern or Trainee
- Junior Data Analyst
- AI Product Tester or Assistant
- Technical Support (AI Tools/Platform)
- AI Research Assistant
- AI Project Coordinator (Entry-level)
List of Required Documents
- Resume
- Passport or ID Photo
Admission Tests
- Study of the school file
- Tests: general knowledge, English, logic and practical case study
- Individual motivational interview
Professional Training
This course is structured to provide learners with:
- A clear understanding of key AI concepts and terminologies
- Practical exposure to tools such as Python, TensorFlow, or scikit-learn (depending on platform/tool use)
- Simple model-building exercises and real-world case discussions
- Basic understanding of ethics, bias, and societal impacts of AI
- Guidance on the AI career roadmap and continued learning paths
Objectives and Context of Certification
The primary aim of this certification is to provide learners with a foundational understanding of Artificial Intelligence, its core concepts, and practical relevance in modern industries. By the end of the course, participants will be able to understand the basic principles of Artificial Intelligence, Machine Learning, and Data Science, recognize real-world applications of AI across sectors such as healthcare, finance, education, telecom, and logistics, apply basic AI tools and techniques, interpret the ethical considerations and social impact of AI, and prepare for further education or junior-level roles in AI-focused fields.
AI is rapidly transforming the global job market and industry landscape. This certification is designed to introduce non-experts and early-career professionals to AI in a short, intensive format, serve as a bridge course for students and professionals from diverse backgrounds, support organizations and individuals in upskilling or reskilling their workforce for digital transformation, and lay the groundwork for progression into advanced AI, ML, and data science courses.
Graduate Responsibilities
After completing the training, participants will be able to:
- Understand and explain basic AI and ML concepts to peers or in job interviews
- Assist in simple AI/data-driven projects under supervision
- Demonstrate awareness of data preprocessing and model selection
- Follow best practices in AI ethics and responsible AI development
- Show initiative to pursue deeper learning in specialized AI domains
Post-Study Job Opportunities
Graduates can look toward early-career roles in IT and Tech Support (AI-enabled systems), Data annotation and AI model training Support, Customer support, and sectors like IT, Finance & Banking, Telecom, and EdTech.
Evaluation Methodology
- Weekly Quizzes (20%) – Understanding of key concepts
- Hands-on Assignments (30%) – Application to practical scenarios
- Final Project / Mini Capstone (30%) – Cumulative understanding project
- Participation & Interaction (10%)
- Final Assessment Test (10%) – Summary of key takeaways
Course Summary
- Duration: 2 weeks (60 hours) or part-time: 80 hours over 8 weeks
- Format: Online / In-person / Hybrid (ILT)
- Modules Include: AI Fundamentals, Machine Learning, Neural Networks, Data Processing, Ethics in AI
- Assessment: Hands-on exercises, case discussions, and final project
- Outcome: Foundational AI knowledge and skills
This compact and impactful training program is designed to build AI awareness and technical readiness in just 2 weeks. Through interactive sessions, practical assignments, and real-world insights, learners will gain a working knowledge of AI concepts and workflows, basic hands-on skills using popular tools and frameworks, awareness of ethical considerations and emerging trends, and a foundation for launching a career in AI.
Starting intake: According to customer request
Tuition Fees:
- €3,000 per participant (60 hours)
- Inhouse corporate training: €30,000 per cohort (10-15 participants)