CERTIFICATION PROGRAMS


Continue your education with us and gain the skills and knowledge in emerging technologies to advance your career by becoming a CASUGOL Certified Professional.

Our Certification Programs are designed by subject matter experts and leading industry professionals in their field focused on developing your skills in the respective technologies allowing you to thrive in the fast-changing and innovative workforce. Programs are also designed for a diverse range of interests for all stages of life, allowing you to learn new skills, gain new insights or uncover your creativity.

Machine Learning Essentials (MLE) is a 1-Day program designed for anyone who have little or no understanding, knowledge of, or experience in Machine Learning and would like the opportunity to learn in a supportive and encouraging environment.
Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.
Organisations are beginning to embrace business analytics, with IT and the business partnering to derive maximum value from their data. By 2020, data will digitalize 80% of business processes and products. Operation processes will become digitalized through machine learning. As data mining and business intelligence tools advance, more decisions will be made for your company and they will be based less on personal analysis and more on algorithms, which Gartner is calling automated judgment.
The worldwide revenue for Big Data and Data Analytics is expected to grow to more than $203 Billion in 2020. Banking specifically will see the fastest spending growth, and industries such as telecommunications, insurance, transportation, and utilities will also start to increase their own spending during this same period, helping to fuel growth.
The number of Internet-connected devices (12.5 billion) surpassed the number of human beings (7 billion) on the planet in 2011, and by 2020, Internet-connected devices are expected to number between 26 billion and 50 billion globally.
Experts have warned of the potential risk of large numbers of unsecured devices connecting to the Internet since the Internet of Things (IoT) concept was first proposed in the late 1990s. Networking appliances and other objects is relatively new, security has not always been considered in product design. IoT products are often sold with old and unpatched embedded operating systems and software.
Cyber threats are growing in complexity and the impact scale of cyber-crimes is increasing dramatically. With the advancement in internet technologies and inter-connectivity between devices and sensors, it is inevitable that the volume of personal and corporate data continues to increase. Cyber Criminals are also increasing in capabilities and taking advantage of the lack of pace in the release of security software patches and updates due to the continuous adoption of new technologies like the Internet of Things (IOT).