Täienduskoolituse õppekava
CAIP
PECB Certified Artificial Intelligence Professional In Estonian: PECB Sertifitseeritud Tehisintellekti Spetsialist
1. Üldandmed
| Õppekava nimetus | CAIP |
|---|---|
| Pakkuja | Ettevõtluskeskus OÜ (registrikood 14127891, EHIS ID 22972) |
| Õppekavarühm | Business and Management |
| Õppekeel | eesti keel |
| Õppevorm | Veebis, inglise keeles |
| Õpingute alustamise tingimused | English language proficiency at intermediate level (materials and tests are in English); Basic knowledge of data analysis and programming concepts would be beneficial; Previous experience with AI, machine learning, or data science is recommended; Computer with webcam and stable internet connection; Headphones with microphone; Quiet learning environment during live sessions |
| Sihtgrupp | The training is designed for AI professionals, data scientists, IT managers, and professionals who want to acquire comprehensive knowledge and skills in designing, implementing, and managing artificial intelligence systems. The training is particularly suitable for professionals seeking to advance into AI leadership roles, enhance their technical expertise, and develop strategic understanding of AI implementation in organizational contexts. |
| Väljastatav dokument | Tunnistus õpiväljundite saavutamisel, muul juhul tõend |
| Rahvusvaheline sertifikaat | PECB sertifikaat eraldi, sertifitseerija tingimustel |
2. Õpiväljundid
Programmi läbinu suudab:
- ÕV1Explains the foundational principles of artificial intelligence and its various applications across different industries and organizational contexts
- ÕV2Applies machine learning techniques to real-world problems, including supervised, unsupervised, and reinforcement learning methodologies
- ÕV3Implements simple neural networks and advanced deep learning architectures such as CNNs, and understands NLP systems and computer vision methodologies
- ÕV4Identifies and mitigates AI risks while ensuring compliance with regulations and developing ethical AI strategies
- ÕV5Develops strategic AI solutions aligned with organizational values and demonstrates competency through PECB certification requirements
3. Õppe maht ja struktuur
3.1 Õppe maht
- Kogumaht: 90 ak.t (45 min) · 67,5 tavatundi (60 min).
- Total volume of studies, including the proportion of classroom, practical, and independent work
- Total training volume: 90 academic hours, including:
- Classroom learning (group meetings in online environment): 40 academic hours
- Independent work: 50 academic hours
3.2 Õppe sisu
- Foundations of AI and Data Analysis
- Fundamental concepts and principles of artificial intelligence
- Data analysis and visualization
- Machine Learning
- Foundations of data science and machine learning
- Machine learning workflow
- Supervised and unsupervised learning
- Advanced ML and broader applications
- Deep Learning and Natural Language Processing
- Foundational NLP concepts
- Classical and intermediate NLP techniques
- Modern NLP: Transformers and large language models
- Deep learning architectures and advanced techniques
- Computer Vision, Robotics, AI Strategy, Governance, and Risk Management
- Computer vision fundamentals
- Robotics and expert systems
- AI security, ethics, and governance
- AI strategy and risk management
- Certification Exam and Professional Development
- Exam preparation strategies
- Professional development in AI field
- Continuous learning and competence maintenance
4. Õppe ülesehitus, keskkond ja meetodid
4.1 Õppemeetodid
- Interactive online lectures and presentations
- Group mentoring sessions
- Practical assignments and case studies
- Individual project work
4.2 Õppekeskkond ja tööriistad
- The training takes place in an online environment combining:
- Video conferencing platform for live sessions
- E-learning environment for materials and assignments
- Collaborative tools for group work
4.3 Õppematerjalid
- PECB official training materials
- Digital materials and video recordings
- Practical examples and case studies
- PECB exam preparation materials
4.4 Iseseisev töö
- Independent work
- Study materials review (comprehensive AI learning materials)
- Weekly practical assignments and AI project development
- Final project: development of complete AI solution strategy
5. Hindamine ja lõpetamise tingimused
5.1 Hindamine
- A qualification document is issued when the learner has demonstrated the achievement of learning outcomes by successfully completing practical tasks and appropriately answering theoretical questions. If the learner does not achieve the required learning outcomes, a confirmation of participation is issued. Upon successful completion, participants can take the PECB Certified Artificial Intelligence Professional certification exam, which is administered separately by PECB.
5.2 Lõpetamise tingimused ja väljastatavad dokumendid
- A qualification document is issued when the learner has demonstrated the achievement of learning outcomes by successfully completing practical tasks and appropriately answering theoretical questions. If the learner does not achieve the required learning outcomes, a confirmation of participation is issued. Upon successful completion, participants can take the PECB Certified Artificial Intelligence Professional certification exam, which is administered separately by PECB.
6. Koolitajate kvalifikatsioon
- All trainers have higher education, work experience in the field they teach, and experience in adult education. Our instructors are certified PECB trainers with extensive practical experience in artificial intelligence development, implementation, and strategic management.
7. Kvaliteedi tagamine ja parendamine
Programmi kvaliteeti hinnatakse osalejate tagasiside, koolitajate tähelepanekute ja lõpetamise tulemuste põhjal. Tagasisidet kasutatakse õppematerjalide, juhendite ja kommunikatsiooni järjepidevaks parandamiseks ja täpsustamiseks.