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Course Content
Week 01
Topic Summary
0/2
Lecture 01 Introduction to IoT and smart Agriculture
06:48
Lecture 02 Real-life problems in agriculture and possible solutions
06:47
Week 02
0/3
Lecture 03 Basic tools components for IoT platform
07:14
Lecture 04 Introduction to basic programming with Micro-controller
12:16
Quiz 01
08:00
Week 03
0/3
Lecture 05 Interface with micro-controller using virtual simulator
06:20
lecture 06 How Soil Moisture Sensor Works and Interface it with Arduino
06:26
Quiz 02
04:00
week 04
0/3
Lecture 07 Data acquisition technique-1 using sensors for agricultural purpose
06:20
Lecture 08 Data acquisition technique-2 using sensors for agricultural purpose
08:15
Quiz 03
04:00
Week 05
0/3
Lecture 09 Data Transfer Techniques in IoT (Part 1)
09:11
Lecture 10 Data Transfer Techniques in IoT (Part 2)
08:43
Quiz 04
04:00
week 06
0/2
Lecture 11 Data Transfer Techniques in IoT (Part 3)
12:06
Lecture 12 Data Storage in IoT (Part 1)
08:50
Week 07
0/2
Lecture 13 Data Storage in IoT (Part 2)
14:21
Lecture 14 Remote Monitoring Using IoT_Session
12:13
Week 08 (Face to Face)
0/9
Lecture 15 Feedback and review with hands-on practices session for the context of week one to three
02:00:00
Lecture 16 Feedback and review with hands-on practices session for the context of week four to six
02:00:00
Lecture 17 Feedback and review with hands-on practices session for the context of weeks four six and seven
02:00:00
Lecture 18 Procrastinators Procrastinate
02:00:00
Lecture 19 Setting and Achieving Focus, Goals and Targets
02:00:00
Lecture 20 Career Planning: Advanced Techniques
01:00:00
Lecture 21 Emotional Intelligence
02:00:00
Lecture 22 CV Development and Personal Branding Tool
02:00:00
Lecture 23 How to prepare for a Job Interview
01:00:00
A-IoT for Agricultural Automation (Batch 2)
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Woodside, New York, USA
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