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Level 8/25 Restwell Street, Bankstown NSW 2200, Australia
Business Hours
Monday to Friday: 10AM - 6PM
Weekend: CLOSED
AI+ Network™ Self-Paced Online Course
Master the Future of Networking: Harness AI for Automation, Security, and Next-Generation Efficiency
This course provides professionals with the basic knowledge and advanced skills needed to understand the combination of artificial intelligence and current networking technologies. It discusses fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Important focus areas consist of AI-powered network automation, orchestration, and security upgrades, combined with hands-on projects and practical labs for real-life implementation. The class ends by examining new developments and
upcoming pathways in AI-enhanced networking, getting students ready for leading positions in this quickly changing sector.
Overview
This course provides professionals with the basic knowledge and advanced skills needed to understand the combination of artificial intelligence and current networking technologies. It discusses fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Important focus areas consist of AI-powered network automation, orchestration, and security upgrades, combined with hands-on projects and practical labs for real-life implementation. The class ends by examining new developments and
upcoming pathways in AI-enhanced networking, getting students ready for leading positions in this quickly changing sector.
Who should enroll
- Networking Professionals: Modernize your skill set by integrating AI for automation and optimization.
- AI Enthusiasts: Interested in applying AI technologies like ML and automation specifically to networking domains.
- IT Specialists: Focused on exploring the intersection of cloud computing, IoT, and AI to optimize infrastructure and network performance.
- Students & New Graduates: Build a competitive resume with future-proof AI networking skills.
- Cybersecurity Analysts: Seeking to utilize AI-driven solutions for threat detection, network protection, and predictive analytics.
Why this certification matters
- Comprehensive Knowledge: Covers fundamental networking concepts and advanced AI-driven technologies like SDN and NFV.
- AI-Powered Efficiency: Teaches how AI can optimize network performance, automation, and security.
- Hands-On Experience: Provides practical labs and projects for real-world application of AI in networking.
- Future-Ready Skills: Equips you with the skills to adapt to the rapidly evolving AI-enhanced networking landscape.
- Leadership Opportunities: Prepares professionals for leadership roles in the AI and networking fields.
Learning Modules
8 modules
01Module 1: Networking Foundations
1.1 Basic Networking Concepts
1.2 Networking Protocols and Standards
1.3 Network Infrastructure and Design
1.4 Introduction to Network Security
1.2 Networking Protocols and Standards
1.3 Network Infrastructure and Design
1.4 Introduction to Network Security
02Module 2: Advanced Networking Technologies
2.1 Network Virtualization and Cloud Networking
2.2 Emerging Network Architectures
2.3 Advanced Routing and Switching
2.4 Network Storage and Data Centers
2.2 Emerging Network Architectures
2.3 Advanced Routing and Switching
2.4 Network Storage and Data Centers
03Module 3: AI in Networking
3.1 Introduction to AI and Machine Learning
3.2 AI-Driven Network Optimization
3.3 AI for Network Security and Threat Detection
3.4 AI-Enhanced Network Management
3.2 AI-Driven Network Optimization
3.3 AI for Network Security and Threat Detection
3.4 AI-Enhanced Network Management
04Module 4: Network Automation and Orchestration
4.1 Fundamentals of Network Automation
4.2 AI-Driven Network Orchestration
4.3 Policy-Driven Network Management
4.4 Case Studies in Network Automation
4.2 AI-Driven Network Orchestration
4.3 Policy-Driven Network Management
4.4 Case Studies in Network Automation
05Module 5: AI-Enhanced Network Security
5.1 Advanced Threat Detection with AI
5.2 Secure Network Design and Architecture
5.3 AI for Cybersecurity Intelligence
5.4 Ethical Considerations in AI-Driven Security
5.2 Secure Network Design and Architecture
5.3 AI for Cybersecurity Intelligence
5.4 Ethical Considerations in AI-Driven Security
06Module 6: Practical Labs and Hands-On Projects
6.1 Network Simulation and Emulation
6.2 AI-Driven Network Automation Projects
6.3 AI for Network Security Projects
6.4 Capstone Project (Using Google Colab and Azure cloud)
6.2 AI-Driven Network Automation Projects
6.3 AI for Network Security Projects
6.4 Capstone Project (Using Google Colab and Azure cloud)
07Module 7: Emerging Trends and Future Directions
7.1 Future of AI in Networking
7.2 AI-Powered IoT Networks
7.3 Blockchain and AI in Networking
7.4 Continuous Learning and Career Development
7.2 AI-Powered IoT Networks
7.3 Blockchain and AI in Networking
7.4 Continuous Learning and Career Development
08Optional Module: AI Agents for Network Management
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Tools Covered
Elastic
Juniper
Netdata
| Format | Online, self-paced |
|---|---|
| Duration | • Instructor-Led: 5 Days (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Self-paced course + Official exam + Digital badge |
| Prerequisites | Basic networking knowledge, Python familiarity, fundamental AI/ML concepts, Experience with network management tools is a plus |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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