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Cloud Computing Essentials

The course covered key topics, including Amazon EC2 (Elastic Compute Cloud), which introduced participants to launching and managing virtual servers. Additionally, insights were provided into the creation and management of virtual machines (VMs) within the AWS environment.

 

Participants also explored AWS fundamentals, including essential services, security, networking, and data management. Understanding load balancers was another critical aspect, focusing on techniques to optimize application performance and availability.

 

The course included hands-on labs that allowed participants to apply their knowledge in practical scenarios, reinforcing their skills in using AWS technologies. Overall, this add-on course provided valuable expertise essential for careers in cloud computing

 

Course Objectives

The primary objectives of the course were to:

  • – Provide a comprehensive understanding of cloud computing principles.

 

  • – Familiarize participants with Amazon Web Services (AWS) as a leading cloud platform.

 

  • – Equip participants with practical skills in launching, managing, and optimizing cloud-based applications.

 

  • – Foster a collaborative learning environment through hands-on labs and group activities.
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AIML Course

The introduction of this audit course aligns with our institution’s mission to promote lifelong learning and academic excellence. By offering this course, we aim to provide our students with additional learning opportunities that can complement their main fields of study and foster a well-rounded educational experience

 

Course Overview: The proposed course is designed to offer students an opportunity to deepen their understanding of Artificial Intelligence and Machine Learning. 

 

The objectives of the course include:

  • – To recall data warehousing and business intelligence fundamentals with examples. State Data Lakehouse and its importance. Compare Data Lakehouse to the traditional SQL data warehouse.

 

  • – To write SQL queries to perform complex operations. Learn advanced SQL concepts with examples and differentiate NoSQL from RDBMS (which uses SQL) by their advantages and disadvantages.

 

  • – To get a clear understanding of AWS, Azure, and GCP fundamentals. Cloud Computing- Benefits of it. Basic knowledge of a few products and services provided by AWS, Azure, and GCP.

 

  • – Be aware of advanced Python concepts, programming with real-life examples.

 

  • – To gain insights into fundamental concepts of Artificial Intelligence (AI), the Basics of Machine Learning, and how to use concepts, Prompt Engineering

 

Course Details:

Week 1 – Data Warehouse Concepts – 3 hours, SQL, NoSQL – 2 hours 

 

Week 2 – Python – 3 hours, Cloud Fundamentals – 2 hours

 

Week 3 – AI, ML – 3 hours, Prompt Engineering – 2 hours