Mastering Power BI and Gen AI Integration for Analytics
What you'll learn
- Integrate Gen AI with Power BI: Learn how to seamlessly integrate Generative AI tools with Power BI for enhanced analytics.
- Data Visualization Mastery: Develop skills to create compelling and insightful visualizations using Power BI.
- Automate Data Analysis: Understand how to automate data analysis and reporting using Power BI and AI techniques.
- Advanced Analytical Techniques: Explore advanced analytical methods and how to apply them in Power BI for deeper insights.
Requirements
- Basic Knowledge of Power BI: Familiarity with the basics of Power BI, including data loading and basic visualization.
- Understanding of Data Analysis: A basic understanding of data analysis concepts and practices.
- Access to Power BI: Access to Power BI Desktop or Power BI service for hands-on practice.
- Interest in AI: A keen interest in learning how AI can enhance data analytics.
Description
Welcome to "Mastering Power BI and Gen AI Integration for Analytics"! This course is designed to take your data analytics skills to the next level by integrating the robust capabilities of Power BI with the cutting-edge potential of Generative AI. Whether you're a beginner looking to get started or a seasoned professional aiming to enhance your analytics toolkit, this course has something for everyone.
In this course, you will:
Master Power BI Fundamentals: Learn to navigate the Power BI interface, create compelling visualizations, and develop interactive dashboards that provide deep insights into your data.
Integrate Generative AI: Understand the principles of Generative AI and how it can be harnessed to enhance your data analytics, providing you with predictive insights and advanced data manipulation capabilities.
Real-world Applications: Apply what you've learned through practical projects and real-world scenarios that mimic the challenges faced in today's data-driven world.
Optimize Data Workflows: Learn to automate and streamline your data processing tasks, making your workflows more efficient and effective.
Advanced Analytics Techniques: Dive into advanced concepts such as machine learning integration, natural language processing, and automated report generation.
By the end of this course, you'll have the knowledge and skills to harness the full potential of Power BI and Generative AI, enabling you to make smarter, data-driven decisions and stand out in your field. Join us on this journey and transform your data analytics capabilities today!
Enrol now and unlock the future of data analytics with Power BI and Generative AI!
Who this course is for:
- Data Analysts: Analysts who want to leverage AI to enhance their data analysis capabilities.
- Business Intelligence Professionals: BI professionals looking to integrate advanced AI techniques into their workflows.
- Developers and IT Professionals: Developers interested in expanding their skills in data analytics and AI integration.
- Business Managers: Managers looking to gain deeper insights from their data through advanced analytics techniques.
Instructor
- 4.0 Instructor Rating
- 1,128 Reviews
- 70,108 Students
- 46 Courses
Hello, I'm Akhil Vydyula — Lead Data Engineer at Publicis Sapient, and Former Senior Data Scientist at PwC.
With over 5 years of rich industry experience and a strong focus on the BFSI sector, I’ve led and delivered end-to-end data and analytics solutions that power strategic decisions and transform business outcomes.
At Publicis Sapient, I currently lead complex data engineering initiatives, leveraging my deep expertise in cloud-native platforms like AWS to architect robust, scalable data pipelines. My work spans across developing and optimizing ETL workflows using PySpark and Spark SQL, orchestrating data flows via EMR, Step Functions, and EventBridge, and driving real-time and batch data processing into PostgreSQL (RDS/Redshift) environments. I've also implemented AWS Glue and DMS to seamlessly replicate and transform large-scale on-premise data into cloud-native formats.
Previously, at PwC, I specialized in advanced analytics and machine learning within the Advisory Consulting practice. I’ve built and deployed predictive models using statistical analysis, regression, classification, clustering, and text mining—particularly for risk identification and decision modeling. My passion lies in transforming raw data into actionable insights through effective data storytelling and visualization.
In parallel to my corporate career, I bring over 5 years of teaching experience, mentoring hundreds of aspiring data professionals. I’m deeply committed to helping students break into the data industry by translating real-world challenges into practical learning experiences.
Whether it's building data pipelines, uncovering business insights, or shaping the next generation of data talent, I thrive at the intersection of technology, strategy, and impact.
Let’s connect if you're passionate about data, eager to learn, or looking to collaborate on meaningful, data-driven initiatives.