With US cloud egress fees and data storage costs rising, local firms are prioritizing 'Edge AI' to process telemetry locally, reducing the volume of data sent to AWS or Azure regions by up to 80%.
Bangalore, India
Computing, IT Systems, and Emerging Technologies
Machine Learning & IoT Training Course
Join our hands-on, in-person training session in Bangalore and accelerate your professional growth.
5 Days
Duration
In-Person
Delivery
12 Dates
Available
Certificate
Included
Master machine learning and IoT training to connect devices, predict outcomes, and build data-driven solutions through practical workshops.
Upcoming In-Person Schedules in Bangalore
Reserve Your Spot Today — Pay When You're Ready!
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| MIT-02 | Mon - Fri (5 Days) | USD 4,600 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (5 Days) | USD 4,600 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (5 Days) | USD 4,600 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (5 Days) | USD 4,600 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (5 Days) | USD 4,600 | Reserve my seat → Register my team → | ||
| MIT-02 | Mon - Fri (5 Days) | USD 4,600 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Machine Learning and IoT Foundations
2
Sensor Data Readiness
3
Machine Learning Models
4
IoT Anomaly Detection
5
Edge AI and Deployment
6
Governance and Security
7
Integration and Reporting
Market-specific guidance for United States
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
5Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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AWS IoT Greengrass Amazon Web ServicesStandard for deploying ML models to edge devices while maintaining cloud-based management in US-based cloud architectures.
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Azure IoT Edge MicrosoftWidely adopted by US enterprises for containerized ML module deployment on local hardware.
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ThingWorx PTCA leading Industrial IoT (IIoT) platform used by US manufacturers for connecting devices and building AR/ML visualizations.
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TensorFlow Lite GoogleThe primary framework for deploying deep learning models on mobile and low-power IoT edge devices.
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Databricks DatabricksUsed for processing massive IoT telemetry streams and training large-scale predictive models in US data lakehouses.
Where this course runs
Machine Learning & IoT Training is delivered in the cities below — pick the one that fits your schedule.
