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Practical Artificial Intelligence with Power BI

A team looking at data tables on a large screen

Unlock the Power of Artificial Intelligence with Power BI

Struggling to translate ChatGPT hype into actionable insights for your business? Decision fatigue from endless data tables and confusing reports?

This program combines the power of AI with the industry's leading BI tool, giving you clear, actionable insights on a silver platter. Imagine easily predicting customer churn before it happens or identifying hidden growth opportunities. Our AI-powered BI dashboard makes complex data intuitive, empowering you to make data-driven decisions with confidence.

Imagine turning your raw data into insightful forecasts, unearthing hidden patterns with a few clicks, and even building AI-powered chatbots without writing a single line of code. Emory Continuing Education's "Introduction to Practical Artificial Intelligence with Power BI" empowers you to do just that, opening doors to a world of data-driven possibilities.

This hands-on learning equips you with the essential skills to harness the built-in AI features of Power BI, a leading business intelligence platform.

You'll dive into the fascinating world of AI, mastering the fundamentals of data analytics, machine learning, and its various applications using Power BI. Whether you're a business analyst, marketer, or someone eager to leverage AI's potential, this program provides an ideal springboard for your journey.

Forget the complexities of traditional coding – Power BI's intuitive interface makes AI accessible to everyone. Under the guidance of experienced instructors, you'll embark on a practical learning journey, mastering crucial data engineering techniques. From data exploration and cleansing to forecasting and anomaly detection, you'll gain the hands-on experience needed to build and deploy real-world AI applications across diverse fields.

Beyond immediate applications, this certificate lays a solid foundation for your future AI endeavors.

With a grasp of Power BI's AI capabilities, you'll be prepared to explore advanced topics like Azure Cognitive Services and delve into the cutting-edge realm of AI insights. Unlock your potential by harnessing the power of AI-driven insights, revolutionizing how businesses analyze data, make informed decisions, and chart a course toward innovation and success through responsible AI.

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Learner Outcomes

After successfully completing this certificate program, students will be able to:

  • Build and deploy real-world AI applications: You will gain the hands-on skills to develop AI-powered solutions for tasks like forecasting, anomaly detection, chatbot creation, text analysis, and computer vision. You will be able to leverage Power BI's built-in AI features without coding, making them readily applicable to current or future professional projects.
  • Master essential data engineering techniques: The course provides a strong foundation in cleaning, preparing, and manipulating data, which is crucial for training and utilizing AI models effectively. You will learn data exploration techniques, time-series analysis, and data requirements for specific AI applications.
  • Develop a solid understanding of fundamental AI concepts: The program demystifies the world of AI by introducing its core elements, including data analytics, machine learning, and various AI applications within Power BI. This gives you a clear framework for further exploration and learning in the vast field of AI.
  • Leverage Azure ML for AutoML models: You will be able to utilize Azure Machine Learning to build and deploy practical AutoML models. This knowledge empowers you to automate the model training process and create AI solutions with greater efficiency.
  • Prepare for advanced AI topics: The course lays a strong foundation for pursuing more advanced AI concepts and tools. You will be familiar with Azure Cognitive Services and generative AI platforms like ChatGPT and OpenAI, opening doors for future exploration and specialization in these areas through responsible AI. 

team look at data

Certificate Highlights

Start Date
September 14, 2024

12 Saturdays, 8:30am - 12:30pm ET


Time Commitment
84 hours

Certificate Requirements

To receive the certificate, students must:

  1. Not miss more than two Saturdays
  2. Commit at least 7 hours per week to complete all class assignments before attending the Saturday classes
  3. Achieve a minimum cumulative score of 75% on the projects and exam

Job Opportunities

Graduates of this program can expect a range of exciting job opportunities in the growing field of Data Science. Here are some examples:

Data analysts extract insights from large datasets, create visualizations, and provide actionable recommendations to improve business processes.

These professionals design and implement ML models, fine-tune algorithms, and deploy them for real-world applications.

BI Analysts build dashboards, reports, and interactive visualizations, enabling data-driven decision-making.

NLP specialists work on understanding and generating human language, applying techniques like sentiment analysis and chatbots.

Forecasting analysts use time-series data to predict future trends, helping organizations plan effectively.

In healthcare, data specialists analyze patient data, optimize treatments, and improve outcomes.

Quantitative financial analysts use ML models for risk assessment, portfolio optimization, and trading strategies.

Supply Chain analysts optimize logistics, inventory management, and demand forecasting.

Marketing Analysts leverage data to understand customer behavior, segment audiences, and enhance marketing campaigns.

Educational technologists integrate AI tools into educational settings, enhancing learning experiences.

Government analysts use data to inform policy decisions, track trends, and address societal challenges.

Energy analysts analyze consumption patterns, optimize energy usage, and explore renewable energy solutions.

Who Will Benefit

These are profiles of our successful graduates: 

  • Unemployed or underemployed individuals
  • Recent college graduates
  • Power BI users
  • IT professionals
  • Financial analysts
  • Healthcare professionals
  • Marketing analysts
  • Supply chain managers
  • Researchers
  • Government officials
  • Educators
  • Entrepreneurs

Program Modules

Major components of the program include:

  • Fundamentals of machine learning (ML) and artificial intelligence (AI)
    • Applications of AI with Power BI
  • Data engineering with Power BI
  • Forecasting time series data
  • Data anomaly detection with Power BI
  • Natural language processing for data exploration
    • Creation and use of Q&A visuals in Power BI
  • Introduction to prebuilt AI model
    • Azure cognitive services
    • Generative AI