The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
AI+ Telecommunications Practitioner™
AT - 2501
Formerly known as AI+ Telecommunications™ AI in Telecommunications: Redefining the Future of Seamless Connectivity
Foundational Insights: Explore AI technologies enhancing telecom networks, from predictive maintenance to network optimization and customer service automation.
Advanced Applications: Master AI in 5G deployment, anomaly detection, and real-time resource management for improved network performance.
Specialized Expertise: Learn AI solutions for cybersecurity, fraud detection, and efficient IoT integration to ensure network reliability.
Capstone Project: Develop AI-driven solutions for real-world telecom challenges like network optimization and intelligent service delivery.
- High-Quality Video, E-book & Audiobook
- Modules Quizzes
- AI Mentor
- Access for Tablet & Phone
- Online Proctored Exam with One Free Retake
- Hands-on Practices
Why This Certification Matters
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AI-Powered Telecom Innovation Learn to integrate AI technologies to enhance telecom services, from 5G to cybersecurity.
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Practical, Hands-On Learning Engage in real-world projects, simulating AI applications across various telecom domains.
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Cutting-Edge Industry Relevance Stay ahead of emerging trends like AI-driven network optimization and IoT integration.
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Comprehensive Skill Development Gain expertise in data engineering, AI algorithms, and predictive maintenance for telecom infrastructure.
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Ethical & Strategic Insights Explore ethical considerations in AI deployment and its impact on the telecom industry.
At a Glance: Course + Exam Overview
Program Name
AI+ Telecommunications Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic understanding of telecommunications concepts and technologies, familiarity with programming, preferably Python, basic knowledge of data analysis techniques, prior experience with AI.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
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Telecom Engineers: Professionals looking to integrate AI for network optimization, 5G deployment, and predictive maintenance.
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Data Analysts: Individuals eager to apply AI in data processing and analysis within the telecom industry.
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Network Security Experts: Those interested in leveraging AI to enhance telecom infrastructure security and threat detection.
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AI Enthusiasts: People with a passion for AI looking to apply it in the rapidly evolving telecommunications sector.
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Project Managers: Professionals overseeing telecom projects who wish to understand AI’s impact on efficiency and innovation in telecom.
Skills You'll Gain
AI & Machine LearningTelecommunications Technologies (5G, IoT, SDN)Network Security Tools (IDS, Intrusion Detection)Predictive AnalyticsBig Data Technologies
What You'll Learn
- Foundational Insights: Explore AI technologies enhancing telecom networks, from predictive maintenance to network optimization and customer service automation.
- Advanced Applications: Master AI in 5G deployment, anomaly detection, and real-time resource management for improved network performance.
- Specialized Expertise: Learn AI solutions for cybersecurity, fraud detection, and efficient IoT integration to ensure network reliability.
- Capstone Project: Develop AI-driven solutions for real-world telecom challenges like network optimization and intelligent service delivery.
- 1.1 AI Fundamentals in Telecommunications
- 1.2 AI Technologies for Telecom
- 1.3 Emerging Trends in AI for Telecommunications
- 1.4 Case Study
- 1.5 Hands-on
- 2.1 Foundation of Telecom Data Engineering
- 2.2 Designing and Managing the Telecom Data Pipeline
- 2.3 Data Engineering tools and Technology
- 2.4 Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery
- 2.5 Hands on Exercise
- 3.1 Introduction to 5G
- 3.2 AI Applications in 5G
- 3.3 Enhancing Network Management with AI
- 3.4 Case Study
- 3.5 Hands-on
- 4.1 Predictive Network Management
- 4.2 Performance Enhancement Techniques
- 4.3 Traffic Management Strategies
- 4.4 Case Study
- 4.5 Hands-on
- 5.1 Security Threats in Telecom
- 5.2 AI Security Solutions
- 5.3 Advanced Security Frameworks
- 5.4 Case Study
- 5.5 Hands-on
- 6.1 Personalized Customer Service
- 6.2 Service Quality Improvement
- 6.3 Enhancing Customer Engagement
- 6.4 Case Study
- 6.5 Hands-on
- 7.1 IoT Fundamentals
- 7.2 Managing IoT Security Challenges
- 7.3 Enhancing Operational Efficiency with IoT
- 7.4 Case Study
- 7.5 Hands-on
- 8.1 Transitioning to AI-driven NOCs
- 8.2 Automating escalations and root cause analyses
- 8.3 Closed-loop automation with AI and SDN integration
- 8.4 Designing AI-ready network architectures
- 8.5 Change management strategies for AI rollouts in operations
- 8.6 Case Study: Implementation of AI assistants in NOCs
- 9.1 Ethical Implications of Using Artificial Intelligence
- 9.2 Responsible Deployment Practices
- 9.3 Emerging Trends and Challenges
- 9.4 Case Study
- 9.5 Hands-on
Tools You'll Master
Prerequisites
- Telecommunications Knowledge: Basic understanding of telecommunications concepts, including networks, 5G, and IoT.
- Programming Skills: Familiarity with programming, preferably in Python.
- Data Analysis: Basic knowledge of data analysis techniques is beneficial.
- AI Familiarity: Prior experience with AI is helpful but not required for enrollment in this course.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- Introduction to Al in Telecommunications - 6%
- Data Engineering for Telecom Al - 10%
- Al for 5G Networks - 10%
- Al in Network Optimization - 10%
- Al for Network Security - 10%
- Enhancing Customer Experience with Al - 11%
- IoT Integration with Telecommunications - 11%
- Al-Integrated Network Operations Centers (NOCs) - 11%
- Ethical Considerations in Artificial Intelligence - 11%
- Capstone Project - 10%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
- 5 days (live or virtual) Self-Paced: 40 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- 40 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
Discover Your Ideal Role-Based Certifications and Programs!
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a Call9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
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The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
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Frequently Asked Questions
Yes, you'll gain practical, hands-on experience to immediately apply AI and BI skills in real-world business scenarios through case studies and a capstone project.
This course combines AI with telecommunications, teaching Python, machine learning, and network management, focusing on 5G, IoT, and predictive maintenance.
You'll work on projects like network optimization, predictive maintenance, QoS, and resource management, culminating in a real telecom capstone.
You'll work on projects like network optimization, predictive maintenance, QoS, and resource management, culminating in a real telecom capstone.
You'll gain expertise in AI and telecom technologies, with hands-on experience and a capstone preparing you for roles in telecom networks and 5G deployment.
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