AI-Powered Connected Intelligence
From basic IoT deployments to AI-driven smart device ecosystems, edge intelligence, and predictive connected systems.
Who Is IoT Academy For?
IoT & Smart Devices Professionals
Currently working in iot & smart devices and want to stay relevant as AI transforms your role
Career Changers
Want to break into iot & smart devices with AI-first skills from day one
Fresh Graduates
Want to start your iot & smart devices career with an AI advantage
Business Leaders
Want to understand how AI transforms iot & smart devices operations and strategy
Freelancers & Consultants
Want to offer AI-powered iot & smart devices services to clients
Team Leads & Managers
Want to build AI-ready iot & smart devices teams
IoT & Smart Devices roles are transforming now. Start with a free roadmap before choosing any paid program.
Role Transformation
See how traditional IoT & Smart Devices roles evolve into AI-enabled market-demand positions.
* Salary ranges are indicative based on current market data for IoT & Smart Devices industry in India.
Traditional
IoT Engineer
AI-Enabled (Market Demand)
AI IoT Architect
IoT AI platforms, Edge computing, Device intelligence
Traditional
Embedded Engineer
AI-Enabled (Market Demand)
AI Edge Intelligence Lead
Edge AI models, TinyML, On-device inference
Traditional
Data Engineer
AI-Enabled (Market Demand)
IoT Data Intelligence Lead
Sensor data AI, Time-series prediction, Anomaly detection
Traditional
Firmware Developer
AI-Enabled (Market Demand)
AI Firmware Intelligence Lead
Smart firmware, OTA AI updates, Device optimisation
Traditional
Network Engineer
AI-Enabled (Market Demand)
AI IoT Network Lead
Network optimisation AI, Protocol intelligence, Connectivity AI
Traditional
Product Manager
AI-Enabled (Market Demand)
AI Connected Product Manager
IoT product AI, User behaviour, Device ecosystem strategy
Traditional
Solutions Architect
AI-Enabled (Market Demand)
AI Smart Solutions Architect
Solution design AI, Integration intelligence, Platform strategy
Sample Capstone Projects
Build real-world IoT & Smart Devices AI projects that go straight into your portfolio.
AI-Powered IoT Dashboard
Build an interactive dashboard that uses AI to analyze iot & smart devices data and generate insights
Automated IoT Workflow
Design an agentic AI workflow that automates a common iot & smart devices process end-to-end
IoT Chatbot Assistant
Create a RAG-based AI assistant trained on iot & smart devices documents and knowledge bases
Programme Curriculum
The track below shows the full IoT curriculum sequence. The enrollable cohort program (see pricing above) runs 8 weeks — confirm the exact module coverage for that duration before enrolling.
Weeks 1–3
Common AI Foundation
GenAI fundamentals, prompt engineering, AgenticAI basics, AutoAI & workflow automation, AI ethics — shared across all industries.
Weeks 4–5
Domain: IoT & Smart Devices
IoT architectures, sensor technologies, connectivity protocols, edge computing, device management.
Weeks 6–7
GenAI: AI IoT Analytics & Insights
Sensor data analytics GenAI, device health reports, anomaly summaries, predictive insights. Project: AI IoT analytics assistant.
Weeks 8–9
AgenticAI: Smart Device Agents
Device management agents, anomaly detection AI, auto-remediation, predictive maintenance agents. Project: Autonomous device management agent.
Weeks 10–11
AutoAI: IoT Intelligence
Predictive maintenance AI, energy optimisation, fleet intelligence, device lifecycle prediction, network optimisation.
Week 12
Capstone: AI-Powered IoT Transformation
End-to-end IoT AI: device → edge → cloud → intelligence. Mentor review and portfolio presentation.
Our Programs
Choose the program that matches your career goals and current skill level.
AI IoT Platform Engineering
Master ai iot platform engineering with hands-on AI projects, expert mentorship, and real-world IoT & Smart Devices case studies.
What You'll Learn
- GenAI applications for ai iot platform engineering
- AgenticAI workflows and automation
- AutoAI pipelines for iot & smart devices
Edge Intelligence
Master edge intelligence with hands-on AI projects, expert mentorship, and real-world IoT & Smart Devices case studies.
What You'll Learn
- GenAI applications for edge intelligence
- AgenticAI workflows and automation
- AutoAI pipelines for iot & smart devices
Smart Device Ecosystems
Master smart device ecosystems with hands-on AI projects, expert mentorship, and real-world IoT & Smart Devices case studies.
What You'll Learn
- GenAI applications for smart device ecosystems
- AgenticAI workflows and automation
- AutoAI pipelines for iot & smart devices
Graduate Roles
AI-powered market-demand roles our graduates step into.
IoT Academy Is Coming Soon
This academy isn't open for enrollment yet. Share your details and we'll notify you as soon as pricing and cohort dates are confirmed — no payment is collected now.
Start Your IoT AI Career Transformation
Use our 9-step Career Finder to discover your personalized AI career path in IoT & Smart Devices.
Powered by the SSMI Framework
Every IoT Academy program follows our SSMI methodology — System (structured AI engineering path), Strategies (real playbooks), Mentorship (expert guidance), and AI×3 (GenAI + AgenticAI + AutoAI for iot & smart devices).
Everything You're Wondering
Everything you need to know about TechlyUp, our programs, and the SSMI framework.
What is the SSMI Framework?
SSMI stands for System, Strategies, Mentorship, and Intelligence. It's our proprietary 4-pillar learning framework that combines structured learning paths, practical strategies, expert mentorship, and AI-powered intelligence to help learners achieve real skill transformation.
What makes TechlyUp different from other AI courses or mentorship platforms?
TechlyUp scopes each program to one work problem with a defined deliverable, reviews submitted work against a published evaluation rubric before it counts toward completion, and shows session and mentor availability as it actually is — no fabricated seat counters or countdowns. We don't claim to be the only platform offering AI courses, mentors, or projects; the difference is in how each program is scoped, reviewed, and delivered.
What is an AI readiness test?
An AI readiness test helps you understand how prepared you are to use AI in your current role. TechlyUp's assessment gives you a readiness score, role-risk snapshot, skill gaps, and a practical next-step roadmap.
How do I know if my job is at risk from AI?
Start by reviewing how much of your current work is repetitive, rules-based, content-heavy, data-heavy, or decision-support oriented. TechlyUp maps your role against AI impact areas and suggests skills and projects that can help you stay relevant.
Which AI career path should I choose?
The best AI career path depends on your current role, industry, experience level, and comfort with technical work. TechlyUp's Career Finder and readiness report recommend a path such as AI Engineer, AI Growth Lead, AI People Strategist, or AI-Ready Professional.
Do I need coding experience to join TechlyUp?
No, not at all. We offer programs for all skill levels, including 'AI for Everyone' which requires no coding background. Our non-tech programs teach you how to use AI tools effectively without writing a single line of code.
How is TechlyUp different from generic course platforms or self-study?
TechlyUp is a career transformation platform, not just a course library. We combine the SSMI Framework, practitioner mentorship, AI Buddy coaching, role-specific projects, and structured accountability.
Is TechlyUp suitable if I have no AI background?
Absolutely. Our programs start with a 3-week common AI foundation before branching into role-specific tracks. The 'AI for Students' and 'AI for Business Owners' tracks are specifically designed for beginners with zero AI experience.
Still have questions?
Book a Free ConsultationReady to Transform Your Career with AI?
Start with a free readiness report, then choose the roadmap, mentorship, and plan that fits your role.
Start with your report before choosing any paid plan.