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DSTC-00896 Online (e-LMS) Graduate / Intermediate

AI and IoT Applications in Solar Energy

by - DSTC

Master AI and IoT Applications in Solar Energy in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 3 Days · 4.5 hrs • e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
3 Days (4.5 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

The AI and IoT Applications in Solar Energy course explores the convergence of advanced technologies with solar energy solutions. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The AI and IoT Applications in Solar Energy course explores the convergence of advanced technologies with solar energy solutions.

📋 Course Objectives

1. Translate AI in Industry & Manufacturing theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in AI in Industry & Manufacturing
• R&D engineers and working professionals applying AI in Industry & Manufacturing in industry
• Academics and educators building research or teaching capacity in AI in Industry & Manufacturing

🚀 Key Learning Outcomes

• Tangible, reproducible AI in Industry & Manufacturing work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Day 1 – Introduction to AI & IoT in Solar Energy

Explore the role of AI and IoT in renewable energy systems • Identify key solar components and energy flow patterns • Configure IoT devices and communication protocols (MQTT, LoRa)

Module 2 Outline

Day 2 – Practical AI & IoT Applications

Implement real‑time monitoring dashboards for solar performance • Build predictive‑maintenance models using machine‑learning algorithms • Create a hands‑on IoT‑based solar monitoring prototype with Arduino/Raspberry Pi

Module 3 Outline

Day 3 – Advanced Solutions & Project

Design AI‑driven smart energy management for micro‑grids • Integrate solar assets with demand‑response and grid‑interaction platforms • Explore future trends: virtual power plants, blockchain, and AI‑enabled energy trading

Technical Specifications

ParameterRequirement
Covered Tool / PlatformArduino
Covered Tool / PlatformRaspberry Pi
Covered Tool / PlatformMQTT
Covered Tool / PlatformLoRa
Covered Tool / PlatformZigBee
Covered Tool / PlatformPython
Covered Tool / PlatformTensorFlow
Covered Tool / PlatformKeras
Covered Tool / PlatformPowerBI
Covered Tool / PlatformAzure IoT Hub

Frequently Asked Questions

This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of renewable energy concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 3 Days. The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to renewable energy. Our mentors are industry experts and experienced professionals. Enroll in AI and IoT Applications in Solar Energy today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering renewable energy skills that matter.

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