Program FAQs

• How many hours per week will I need to dedicate to this AI for Data Analytics program?

  This program is designed with working professionals in mind. You will need to dedicate approximately 6-9 hours per week. This includes attending live classes, lab practice, projects, and exercises. Regular practice is crucial, especially for the Python and SQL sections. Studying consistently will make the learning process easier.
  

• If I don't know how to code at all, will Python and SQL be difficult?

  This course is designed for individuals with no prior coding experience. It starts with the fundamentals - basic syntax, logic, and small examples. Software development theory is not taught here; rather, the focus is on coding that is practical and directly applicable to data analytics.
  

• What if I miss a live class?

  If you miss a class due to work, there is no need to worry. All live sessions are recorded and uploaded to the LMS within 24 hours. You can watch the recordings at your convenience. However, attending live classes is recommended, as they provide an opportunity to ask questions directly.
  

• Will I get help if I get stuck while working on a project outside of class?

  Yes, you will not be left on your own. There is 24/7 teaching assistance available. Additionally, there is a community forum where you can post your questions. Mentors and teaching assistants respond within a specified timeframe to help resolve your queries.
  

• How is "GenAI-Powered Data Analytics" different from traditional data analytics?

  In traditional data analytics, we analyze historical data to understand what happened (descriptive) and why it happened (diagnostic).

  This program also incorporates AI for Data Analytics, which enables you to:

  • Create synthetic data

  • Automate complex reports

  • Query data using simple language, such as “Show the sales trend for Q3.”

  • Avoid writing lengthy SQL code each time
    
    

  This means the focus is not only on understanding data, but also on using AI to perform tasks more efficiently and intelligently.

• Will I learn to build my own AI models or just use the tools?

  You will learn both.

  On one hand, you will learn to use low-code and no-code tools such as Microsoft Copilot and ChatGPT, enabling you to apply them in business settings immediately.

  On the other hand, you will also learn technical concepts, such as:

  • Building custom machine learning models with Python

  • Fine-tuning models

  • Building AI agents using tools such as LangChain and CrewAI

  This ensures you not only learn how to use the tools, but also understand how they work.

• What is the role of "Prompt Engineering" in a data analytics course?

  Prompt Engineering has become a vital skill for analysts. You will learn how to provide Generative AI tools with clear and precise instructions to produce accurate and reliable outputs.

  You will learn how to:

  • Generate correct SQL queries

  • Debug Python code

  • Summarize and interpret large datasets concisely

  This will significantly improve productivity and reduce errors or AI hallucinations.

• Will this program help you prepare for industry certifications?

  Yes, this course is aligned with industry standards.

  The Power BI and Azure modules are specifically designed to help you prepare for certifications such as Microsoft PL-300 and Microsoft AI-900.

  This allows you to earn a university certificate while also preparing for certifications from companies such as Microsoft.