The tech landscape has become increasingly competitive. AI has revolutionized the industry, automating many tasks. However, true success lies in understanding the fundamental principles behind these tasks. Theory is important, but true understanding and mastery come from hands-on experience. That’s why from this year, all our courses are designed with a strong emphasis on practical application. You won’t just learn concepts; you’ll apply them through simulations, software projects, and real-world case studies.
This immersive approach ensures you grasp the theoretical foundations and develop the critical skills and confidence to excel in your chosen field. Also, the future of work demands AI integration in every career but true mastery involves a deep understanding of the task itself. This allows you to leverage AI effectively, maximizing efficiency and achieving optimal results. This unique blend of technical expertise and strategic thinking is the winning edge that sets successful job applicants apart.
We don’t just talk the talk; we walk the walk. Our in-house study demonstrates the effectiveness of hands-on training. 100% of trainees who participated in our program successfully landed jobs and passed relevant certification exams. Also, there are notable studies in the field of education, for instance, Freeman et al. (2014), that directly support the notion that active learning leads to improved learning outcomes. Furthermore, numerous cutting-edge researches in Psychology emphasize the importance of active engagement in effective learning (e.g., Heljakka, K. (2023)).
Based on this, the following listed courses will be hands-on:
- Project Management
- Lean Six Sigma
- Business Analysis
- Program Management
- Agile Project Management
- Scrum Master
- Python
- Data Analysis
- Machine Learning
- Reinforcement Learning
- Natural Language Processing
- Generative AI
For more information, you can contact Dipo here.
Reference
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United States of America, 111(23), 8410–8415.
Heljakka, K. (2023) ‘Building playful resilience in higher education: Learning by doing and doing by playing’, Frontiers in Education, 8. doi:10.3389/feduc.2023.1071552.
