What is this Pathway about?

This pathway builds foundational AI, ML, and data skills tailored for the telecommunications industry.

How is this course different from a general AI course?

It focuses specifically on how AI applies to telecom operations, data engineering, and IoT integration.

What tools will I learn?

Python, Scikit-learn, Keras, Jupyter Notebooks, Matplotlib, Power BI, and other AI healthcare tools.

Do I need to know programming before starting?

Basic familiarity with Python is helpful, but guided exercises and templates make it beginner-friendly.

Can I take this course even if I’m not from a telecom background?

Yes, professionals from related fields like IT, data, and networking will also benefit.

What tools or platforms will I learn in this pathway?

You’ll explore key AI tools used in telecom—like TensorFlow, PyTorch, and industry-relevant datasets for predictive modeling.

How does this pathway prepare me for real-world telecom challenges?

Through practical labs and projects, you’ll simulate real telecom use cases such as network optimization, customer analytics, and fault prediction.

Is this pathway connected to future specializations?

Yes, this is the first step in the AI for Telecommunications series. Completing all three prepares you for the final certification exam.

What career outcomes can I expect after completing all pathways?

After all three pathways and certification, you’ll be equipped for roles like AI Telecom Engineer, Network Data Analyst, or AI Solutions Architect.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI Foundations & Industry Overview for Telecommunication

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AI Foundations & Industry Overview for Telecommunication

Ce cours fait partie de Spécialisation "AI for Telecommunications"

Instructeur : AI CERTs Team

Inclus avec

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Network Protocols
Catégorie : Natural Language Processing
Catégorie : Dataflow
Catégorie : Communication
Catégorie : Network Performance Management
Catégorie : Computer Networking
Catégorie : Network Architecture
Catégorie : Generative AI Agents
Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
Catégorie : Emerging Technologies
Catégorie : Digital Communications
Catégorie : Internet Of Things
Catégorie : Data Pipelines
Catégorie : Artificial Intelligence
Catégorie : Automation
Catégorie : Responsible AI
Catégorie : System Design and Implementation
Catégorie : Wireless Networks
Catégorie : Telecommunications

Outils que vous découvrirez

Catégorie : Generative AI

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

2 devoirs

Enseigné en Anglais

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logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

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Ce cours fait partie de la Spécialisation "AI for Telecommunications"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 2 modules dans ce cours

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.

In this foundational pathway, you’ll explore how artificial intelligence, machine learning, and data engineering are reshaping the telecommunications landscape. You’ll gain practical insights into how AI supports network automation, predictive maintenance, and smarter decision-making through real-world telecom data. Through hands-on labs and guided projects, you’ll learn to work with telecom data pipelines, understand IoT and NLP fundamentals, and prepare datasets for AI-driven network optimization. By the end of this pathway, you’ll have a strong grasp of AI concepts contextualized for telecom — setting the stage for advanced applications in intelligent networks, 5G, and customer experience explored in Pathways 2 and 3.

Détails du module

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

Inclus

10 vidéos1 devoir2 plugins

10 vidéosTotal 38 minutes

Navigation Video2 minutes
Course Introduction7 minutes
1.1 What is AI? 4 minutes
1.2 Telecom Industry Overview: The Role of AI in Transformation 3 minutes
1.3 Impact of AI on Telecom Services 2 minutes
1.4 What is Machine Learning? 4 minutes
1.5 Machine Learning in Telecom Industry5 minutes
1.6 Natural Language Processing (NLP) and Computer Vision 4 minutes
1.7 Emerging trends in AI for Telecommunications 4 minutes
1.8 Case Study: Automating Customer Support Using NLP 4 minutes

1 devoirTotal 30 minutes

Quiz 130 minutes

2 pluginsTotal 30 minutes

Module 1: Introduction to AI in Telecommunications 15 minutes
ACTIVITY: Timeline15 minutes

Inclus

5 vidéos1 devoir2 plugins

5 vidéosTotal 23 minutes

2.1 Data Engineering and Telecom Data5 minutes
2.2 Processing structured vs. unstructured data 3 minutes
2.3 Designing and Managing the Telecom Data Pipeline5 minutes
2.4 Data Engineering tools and Technology 5 minutes
2.5 Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery 5 minutes

1 devoirTotal 30 minutes

Quiz 230 minutes

2 pluginsTotal 30 minutes

Module 2: Data Engineering for Telecom AI 15 minutes
ACTIVITY: Tab15 minutes

Obtenez un certificat professionnel

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