This is Part 1 of the AI for Telecommunications Specialization — a three-pathway program designed to equip professionals with the skills to drive AI-powered transformation across telecom networks.

AI Foundations & Industry Overview for Telecommunication

AI Foundations & Industry Overview for Telecommunication
This course is part of AI for Telecommunications Specialization

Instructor: AI CERTs Team
Access provided by NMIMS Indore
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
AI Foundations: Grasp core AI, ML, and NLP concepts and their transformative role in modern telecom systems.
Data Engineering: Learn to build and manage telecom data pipelines for AI-driven insights and automation.
IoT Integration: Understand how AI enhances IoT device connectivity, monitoring, and real-time data flow.
Applied Readiness: Build a solid foundation to advance into 5G, network optimization, and telecom security.
Skills you'll gain
- Automation
- System Design and Implementation
- Network Performance Management
- Emerging Technologies
- Telecommunications
- Digital Communications
- Natural Language Processing
- Communication
- Network Protocols
- Responsible AI
- Network Monitoring
- Computer Networking
- Data Pipelines
- Wireless Networks
- Generative AI Agents
- Network Architecture
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Internet Of Things
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
Recently updated!
November 2025
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Build your subject-matter expertise
This course is part of the AI for Telecommunications Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 2 modules in this course
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