- Manage software using DNF- Install Red Hat Enterprise Linux using scalable methods- Access security files, file systems, and networks- Execute shell scripting and automation techniques- Manage storage devices, logical volumes, and file systems- Manage security and system access- Control the boot process and system services- Run containers- etc.

- Understand the role that identity and access management plays in protecting organisations from attacks targeting employees and their customers- Leverage high-end security enterprise solutions: IBM QRadar SIEM, UBA, Advisor with Watson (AI), X-Force Exchange, and IBM Verify (IAM)- Gain real-world proactive on critical threat modelling methodologies and frameworks such as MITRE, Diamond, Threat Hunting and SIEM approaches for Threat Management- Participate in Security Operations Centre (SOC) role playing scenarios: Experience research insights through design thinking- Experience the basis for SOC – enacting the roles of triage analysis, incident response analyst and threat intelligence analyst- etc.

- Understand AI technology building blocks, including: natural language processing, machine and deep learning, neural networks and virtual agents.- Machine Learning (ML) Model: Introduction to how machine learning algorithms can augment human decision making. Learn about popular open-source ML programming languages like Python and R.- Low-code Advantage: Learn how low-code solution can reduce coding time and can accelerate ML initiatives. Lowering the barrier of entry for companies to augmented decision making.- ML model life-cycle management: Introduction to MLOps (machine learning operations) for end-to-end the ML models management: data exploration, model build, production deployment, performance monitoring, bias detection and regulatory compliance.- etc.

I am part of a project focused on the development of Data Annotator & Artificial Intelligence, my responsibilities included:- Studying and gaining expertise in data analysis, machine learning, natural language processing, and prompt engineering.- Exploring and researching the utilization of ChatGPT in the field of education through a literature review of more than 5 relevant papers.- Generating and proposing three innovative educational application ideas: personalized English learning, automatic answer grading, and lesson plan creator.- Developing an artificial intelligence-based application called Personalized English Learning using the Open AI API.

MSIB Batch 3 At MariBelajar X Microsoft-Utilize Azure and Power BI Services as data analytics and artifical intelligence tools-Achieved a final project score of 97.5/100