Course Syllabus – System Analyst in the AI Era

IT Fundamentals & Networking

 

  • Working with Windows and Linux operating systems 
  • Understanding hardware components and file systems 
  • Basic networking concepts: IP, TCP/IP, HTTP, network architecture 
Introduction to AI & GenAI

 

  • AI foundations: machine learning, neural networks, GenAI 
  • Overview of advanced AI models such as Gemini, ChatGPT, Claude 
  • Ethics, biases, and privacy in AI 
  • Practical use of AI in office tools and data interaction 
Basic Java Programming

 

  • Programming fundamentals 
  • Functions, arrays, and Object-Oriented design 
  • Writing, compiling, and debugging code 
  • Using AI-assisted coding environments 

 

Database Systems & SQL

 

  • Relational databases and ER diagrams 
  • DDL & DML 
  • Analytical queries and database normalization 
  • Using AI tools to assist in writing and visualizing queries 
Client-Server & AI API Integration

 

  • Overview of client-server architectures 
  • RESTful services and API concepts 
  • Connecting external AI APIs (OpenAI, Google Cloud) 
  • Creating workflows using GenAI tools and prompts 
System Analysis & Project Tools

 

  • Requirement gathering and stakeholder analysis 
  • Writing functional and non-functional specs 
  • UML, flowcharts, and modeling techniques 
  • Jira and Agile workflows 
Product Thinking & AI

 

  • Understanding user needs and value-driven development 
  • Integrating AI features into product design 
  • Measuring and iterating product success 
Salesforce CRM Implementation

 

  • Salesforce basics: objects, data, and layout configuration 
  • Automation tools and business processes 
  • Reports, dashboards, and AI-powered CRM features 
*Syllabus is subject to change.