Energy & Its Distribution Analytics

Energy & Its Distribution Analytics

The primary objective of this program is to provide participants with a solid foundation in both data science and artificial intelligence, empowering them to design intelligent solutions driven by data insights. The course aims to develop proficiency in data handling, exploratory analysis, and model development while introducing learners to modern AI techniques such as machine learning and deep learning. Additionally, the program focuses on helping participants understand the end-to-end AI lifecycle—from data acquisition to model deployment—ensuring they can apply industry-standard tools and methodologies to real-world challenges.

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Description

1. Learning Outcomes

  • Understand key concepts in AI and data science.
  • Clean, analyze, and interpret datasets.
  • Build and evaluate machine learning models.
  • Apply basic deep learning techniques.
  • Use tools like Python and TensorFlow.
  • Develop a simple AI-driven project.

2. Program Highlights & Key Features

  • Hands-on labs and real-world case studies.
  • Training with industry-standard tools.
  • Project-based learning with a final capstone.
  • Expert guidance and practical insights.
  • Coverage of latest trends in AI and data science.

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