Data Analyst, AI Data Engineer, Data Architect CLOUD COMPUTING 1. AWS ACADEMY CLOUD FOUNDATION: Entry-Level AWS Academy Cloud Foundations is intended for students who seek a foundational understanding of AWS cloud computing technology. Taught by tech industry profes sionals with many years’ experience in the AWS environment, this course provides a detailed overview of cloud concepts, AWS core services, security, architecture, pricing and support. This course with hands-on lab will help you prepare for the AWS Certified Cloud Practitioner exam. Pre-requisites: This course assumes the student has worked in IT for 2 or more years as a developer, systems support, or administrator. Core Micro-Credentials: None Job Title Examples: Cloud Support Specialist, Cloud Network Technician, AWS Cloud Engineer -

Job Title Examples: Entry-Level Data Scientist, Machine Learning engineer, Automation Software engineer 4. ARTIFICIAL INTELLIGENCE FOR CORPORATE MANAGEMENT: UNLOCKING THE FUTURE WITH AI: Intermediate Level Artificial Intelligence Certificate for Corporate Management is a carefully crafted training program designed to empower executives, managers, and decision-makers with a strategic understanding of AI’s transformative potential for their businesses. The 24 hour program will deliver insights, emphasizing practical applications while minimizing technical complexities. It will also delve into the ethical dimensions of AI, ensuring participants become knowledgeable in responsible practices. Navigating the regulatory landscape and anticipating future trends will further equip attendees with the foresight needed to guide their organizations through the evolving AI ecosystem. The training program will be conducted through a combination of live lectures, interactive workshops, case studies, and facilitated discussions to ensure maximum engagement and knowledge retention. Practical applications will be demonstrated through user- friendly AI tools tailored for decision support and customer engagement. Participants will also have the opportunity to collaborate on practical exercises to apply their learning in a simulated business context. Pre-requisites: Role as a Manager, Decision Maker or Business Executive Core Micro-Credentials : None 5. DATA ENGINEERING FOUNDATION USING PYTHON: Intermediate Level Data engineering field plays a critical role in making sense of data and with the rise of artificial intelligence (AI), the demand for skilled data engineering professionals is growing rapidly. In this 60 hour deep-dive, students will develop foundational skills to successfully shape their careers as data engineers and AI professionals. It is an intermediate level course for students who have completed MCC’s Data Analytics micro-credentials or have experience as a software developer or data analyst. Topics will include Introduction to Data Management, Data Integration in Enterprise, Python Programming for Data Processing, Usage of data processing libraries such as Numpy, Data Pipelines and Automation. The fast-paced course is very hands-on and each week will include lab assignments from real-world industry problems and data sets. Pre-requisites : Basic knowledge of data analytics, programming experience (Excel or high-level programming language). Core Micro-Credentials: None Job Title Examples: Data Engineer, Business

2. AWS CLOUD PROFESSIONAL – SYSOPS ADMINISTRATOR: Intermediate The AWS Cloud Professional SysOps certification validates your skills in provisioning/ deploying, operating, managing and maintaining applications running on AWS Cloud. It confirms your ability to identify and gather requirements for creating highly available, scalable and secure solutions built and operated using AWS services. Pre-requisites: 1-2 years of experience as a systems administrator role and a minimum of 1 year of hands-on experience with AWS technology: deploying, managing, and operating workloads on AWS as well as implementing security controls and compli ance requirements. AWS Cloud Foundation certification is highly recommended. Core Micro-Credentials: None Job Title Examples: AWS System Administrator, Cloud Network Engineer, AWS Cloud Engineer -

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