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Generative AI (Gen AI) Course

Master the essentials of Generative AI and learn to develop, analyze, and implement cutting-edge AI models. Gain hands-on experience in creating innovative AI applications, from text generation to image synthesis, using powerful tools and techniques to solve complex problems.
  • Accredited by Swayam, Approved by the Government of India
  • Get Trained by Experts from ISB, IIT & IIM
  • 15+ Hours of Self-Paced Recorded Videos
  • Earn a Certificate from 360DigiTMG
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Generative AI

Program Cost

INR 4,000 0/-

Generative AI Certification Program Overview

Microsoft Excel is a powerful spreadsheet tool renowned for its versatility and ease of use in data analysis. It excels in managing smaller datasets, though working with Big Data can present challenges. Our comprehensive Data Analytics with Excel program covers everything from beginner to advanced levels, focusing on practical, project-based learning. Participants will delve into Excel’s core analytics features, including conditional formatting, lookup functions, sorting, filtering, and pivot tables.

 

The curriculum also emphasizes data visualization, offering real-world projects to boost portfolios and interview readiness.

 

Offered through the 360DigiTMG Training platform, this program supports collaborative real-time interaction using Excel Online and Microsoft 365. By completing this course, you’ll gain a certification that enhances your job prospects and demonstrates your expertise in data management and analysis.

 

What is Data Analytics Using Excel?

Data Analytics Using Excel involves leveraging Microsoft Excel's robust features to manage, analyze, and visualize data effectively. Excel, developed by Microsoft, is a versatile spreadsheet software compatible with Windows, iOS, macOS, and Android. It provides a structured environment where users can input and manipulate data in rows and columns, performing various calculations and analyses.

Excel's powerful suite of tools includes pivot tables, which allow users to summarize and explore large datasets, and advanced functions like VLOOKUP and INDEX/MATCH for complex data retrieval. The software also offers extensive graphing capabilities, enabling users to create charts and visualizations that help in interpreting data trends and patterns without needing advanced coding skills.

Excel's features, such as Power Query and Power Pivot, enhance its ability to handle large volumes of data, perform intricate analyses, and automate repetitive tasks. As a foundational tool in data analytics, Excel is widely used across industries for tasks ranging from financial forecasting to business intelligence, making it an essential skill for anyone involved in data analysis.

Learning Outcomes in Generative AI

Mastering Excel is essential for a successful and efficient analytical journey. This course introduces powerful tools for seamless data manipulation, visualization, and analysis. Excel's features, including Power Query, Power Pivot, and advanced charting options, provide a robust platform for managing large datasets and performing complex analytics. Expertise in creating pivot tables, and pie charts, and using graphing tools involves cleaning and transforming data to identify trends and patterns effectively.

Proficiency in Data Mining and Analysis: Gain the ability to effectively extract and analyze data for meaningful insights.
Business Intelligence Mastery: Develop skills in interpreting data comprehensively to support strategic decision-making.
Accurate Sampling and Validation: Learn to apply precise sampling methods and validation techniques to ensure reliable data.
Parameter Management and Formula Auditing: Acquire competence in filtering variables and maintaining data accuracy through formula auditing.
Quality Assessment and What-If Analysis: Implement quality assessment techniques and conduct What-If studies to evaluate the impact of potential changes.
Effective Data Visualization: Utilize advanced visualization techniques to create insightful charts and tables that communicate data findings.

Training Modules of Generative AI Course

It's critical to understand what Generative AI means before beginning to utilise it. Drawing on the collaborative efforts of scholars and technologists from many domains, our interpretation of the word encompasses the use in artificial intelligence to generate content (such as text, graphics, or presentations) in reaction to user-inputted prompts. The objective of this wide definition is to reflect the rapidly expanding variety of technologies being developed for these reasons. Furthermore, Generative AI is distinct from other kinds of AI in that it uses predefined data sources to generate material in response to a specific prompt. Other forms of AI are employed in a number of contexts, such as gaming, information curation, and vehicle operation.

  • Introduction to Vector Databases and Their Role in AI
  • Deep Dive into RDBMS (SQL), NoSQL, and Vector Databases. Understand the Pros and Cons of these solutions
  • Understanding the vector databases'role in the field of product development with Generative AI.
  • Improving the responsiveness and contextual understanding of AI-driven chatbots and virtual assistants with Vector Embeddings
  • Using vector databases in image and video generation
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