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AI, Machine Learning & Data ScienceLinkedIn2024-8 Edition100% Free Video Course

AI-Powered Time Series Forecasting with Python

AI-Powered Time Series Forecasting with Python course. This course teaches you how to make time series forecasts using Python and artificial intelligence. You will learn how to transform forecasting processes from static and classical to dynamic and real-world applications. You will also learn tools and approaches that you can use in other AI and machine learning tasks.This course will help you gain an in-depth understanding of time series forecasting and be able to use this knowledge to improve your business decisions. You will get to know the basic concepts of time series, different forecasting models and how to implement them in Python. This course will help you make more accurate predictions of the future using Python and artificial intelligence. You will learn how to build, train and use predictive models to analyze a variety of data. This course is suitable for people who want to use their data to improve their business decisions.

5.0
(1 reviews)
2.4 Hours On-Demand
Created by LinkedIn
Uploaded Sep 2026
English
beginner to advanced
AI-Powered Time Series Forecasting with Python
Preview This Course
Free$129.99100% Free

Instant high-definition streaming with zero paywalls.

Course Features:
2.4 hours on-demand video
32 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Batch Systems: Learn how to build batch features, train a model to make predictions, and make predictions with the model.
Near-Real-Time Systems: Understanding the Requirements for Near-Real-Time Prediction Systems, Feature Recalculation and Online Forecasting.
Real-time systems: Familiarity with the requirements of real-time forecasting systems, working with streaming data sets and online forecasting.

Course Curriculum32 Lectures

6 sections • 2.4 hours total length

Prefer offline learning? Download all 32 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

AI-Powered Time Series Forecasting with Python course. This course teaches you how to make time series forecasts using Python and artificial intelligence. You will learn how to transform forecasting processes from static and classical to dynamic and real-world applications. You will also learn tools and approaches that you can use in other AI and machine learning tasks.This course will help you gain an in-depth understanding of time series forecasting and be able to use this knowledge to improve your business decisions. You will get to know the basic concepts of time series, different forecasting models and how to implement them in Python. This course will help you make more accurate predictions of the future using Python and artificial intelligence. You will learn how to build, train and use predictive models to analyze a variety of data. This course is suitable for people who want to use their data to improve their business decisions.

Instructor

L

LinkedIn

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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