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Student analyzing financial data using Time Series Analysis with AI models and deep learning graphs.

Time Series Analysis with AI Course

INR ₹2,499.00 INR ₹24,999.00Price range: INR ₹2,499.00 through INR ₹24,999.00

The Time Series Analysis with AI course is a 3-week program designed to teach you how to apply AI techniques to time series data for forecasting, trend analysis, and decision-making. Learn how to build predictive models that can analyze patterns in data over time.

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Course Aim

"This course equips data professionals with skills to implement AI time series forecasting workflows using pre-trained foundation models and zero-shot techniques, enabling robust predictions with minimal computational overhead."

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Deep-Dive: Deep Learning & Generative AI

About the course

Traditional forecasting methods like ARIMA are often insufficient for today’s complex, real-world data. This course represents the 'quiet revolution' in forecasting, moving you beyond statistical baselines into the era of Deep Learning and Generative AI.

Course Objectives

  • Understand the limitations of traditional statistical models vs. AI adaptability.
  • Implement Generative AI for time series using models like TimeGPT and Chronos.
  • Master the fine-tuning process for foundation models to improve precision.
  • Learn to handle complex data such as multivariate time series and missing values.
  • Deploy and monitor AI models on platforms like Databricks or IBM Watsonx.

Table of Contents (3-Week Intensive)

Week 1

Foundations of Deep Learning

  • Introduction to Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM).
  • Understanding convolutional neural networks for temporal patterns.

Week 2

The Transformer & Generative AI Revolution

  • Understanding Transformers & Self-Attention.
  • Generative AI for forecasting with TimeGPT and Chronos.

Week 3

Advanced Techniques & Production

  • Efficient Fine-Tuning using TinyTimeMixer (TTM).
  • Handling multivariate data and deploying on cloud platforms.

Learning Outcomes

  • 01. Deploy LSTM models for crop yield prediction.
  • 02. Execute UAV survey missions for 3D point clouds.
  • 03. Implement VRT prescriptions to maximize ROI.
  • 04. Architect a Digital Twin of farm operations.

Strategic Objectives

  • Competency in GIS & Remote Sensing.
  • Demystify Agentic AI for agriculture.
  • Transition into Micro irrigation roles.
  • Promote Sustainable Digital Impact.
Category

E-LMS, E-LMS+Video, E-LMS+Video+Live Lectures

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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Hall of Fame.

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