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Applied ai Machine Learning Course

What will I learn?

Unlock the power of AI for business intelligence with our Applied AI Machine Learning Course. This course, designed for working professionals, gives you short, top-notch lessons on how to collect data, get it ready, and build features for time series analysis. You'll become a master of machine learning models like ARIMA and LSTM, and you'll learn how to check them and make them even better for correct predictions. You'll also improve your skills in understanding what the results mean and giving advice based on data, all while writing down and reporting things clearly. Get a boost in your career with useful, practical knowledge today.

Apoia's Unique Features

Online course with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Study anytime, no internet connection required

Develop skills

Enhance the growth of the practical skills listed below

Master feature engineering: Create powerful time-based features for analysis.

Optimize data collection: Find and use the right data sources effectively.

Enhance data preparation: Clean, tidy, and scale data for correct results.

Implement forecasting models: Use ARIMA and LSTM for spot-on predictions.

Communicate insights: Show and report data-driven business advice clearly.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Select which chapter to commence with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You’ll be able to generate additional chapters similar to the examples below

This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.