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DSTC-00717 Online (e-LMS) Graduate / Intermediate

AI for IoT Course

by - DSTC

A broad introduction to AI for the Internet of Things.

★★★★★ Be the first to review 4 Weeks · 40 hrs e-Certificate Included
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From ₹100 + GST

📚 Syllabus & Course Curriculum

Data Science & Analytics

Module-by-module breakdown of AI for IoT Course, from foundations to a certified capstone project.

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Outline

Implement AI-Powered IoT with Artificial Intelligence for practical ai fundamentals, mathematics, and ai for iot foundations applications and outcomes. • Design Automation with Cloud Computing for practical ai fundamentals, mathematics, and ai for iot foundations applications and outcomes. • Analyze Connected Devices with Data Analytics for practical ai fundamentals, mathematics, and ai for iot foundations applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Design Automation with Cloud Computing for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Analyze Connected Devices with Data Analytics for practical data engineering, preprocessing, and feature pipelines applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical model architecture, algorithm design, and ai for iot methods applications and outcomes. • Design Automation with Cloud Computing for practical model architecture, algorithm design, and ai for iot methods applications and outcomes. • Analyze Connected Devices with Data Analytics for practical model architecture, algorithm design, and ai for iot methods applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical training, hyperparameter optimization, and evaluation applications and outcomes. • Design Automation with Cloud Computing for practical training, hyperparameter optimization, and evaluation applications and outcomes. • Analyze Connected Devices with Data Analytics for practical training, hyperparameter optimization, and evaluation applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical deployment, mlops, and production workflows applications and outcomes. • Design Automation with Cloud Computing for practical deployment, mlops, and production workflows applications and outcomes. • Analyze Connected Devices with Data Analytics for practical deployment, mlops, and production workflows applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Design Automation with Cloud Computing for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Analyze Connected Devices with Data Analytics for practical ethics, bias mitigation, and responsible ai practices applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical industry integration, business applications, and case studies applications and outcomes. • Design Automation with Cloud Computing for practical industry integration, business applications, and case studies applications and outcomes. • Analyze Connected Devices with Data Analytics for practical industry integration, business applications, and case studies applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical advanced research, emerging trends, and ai for iot innovations applications and outcomes. • Design Automation with Cloud Computing for practical advanced research, emerging trends, and ai for iot innovations applications and outcomes. • Analyze Connected Devices with Data Analytics for practical advanced research, emerging trends, and ai for iot innovations applications and outcomes.

Outline

Implement AI-Powered IoT with Artificial Intelligence for practical capstone: end-to-end ai for iot ai solution applications and outcomes. • Design Automation with Cloud Computing for practical capstone: end-to-end ai for iot ai solution applications and outcomes. • Analyze Connected Devices with Data Analytics for practical capstone: end-to-end ai for iot ai solution applications and outcomes.

Earn government-registered certification in AI for IoT Course

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

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