Course Benefits
1. Understand the fundamentals of Data Analytics in AIoT systems
2. Learn how to collect and process real-time data from IoT devices
3. Build interactive dashboards for monitoring and visualization
4. Develop AI Agents for automated insights and decision-making
5. Detect anomalies and optimize system performance using AI
6. Design scalable data-driven solutions for real-world applications
Courses Structure
Chapter 1: Data Exploratory
Introduction
ETL Pipeline Setup
Data Cleaning & Validation
Data Profilling
Data Cleaning & Validation
Chapter 2: (Time-series & Images) Data Labeling & AI Model Training
Inroduction
Annotation Techniques
ML Orchestration & Model Selection
Deployment
Image Data Preparation from tesa platform
Image Data Labeling
Image Data Training
Model Evaluation on Data Analytics Platform
Model Evaluation using python programming template on google colab
Sending data to TESA Platform
Chapter 3: AI Agent
Introduction
Inference Pipelines & Workflow Templates
Multi-tenant AI Assistant
RAG & Human-in-the-Loop (HITL)
Learning Hours
12 Hours
