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.
Certification overview:
Included Items: Instructor-led OR Self-paced course + Official exam + Digital badge
Certificate Duration:
• Instructor-Led: 5 Days (live or virtual)
• Self-Paced: 40 hours of content
Prerequisites: Basic networking knowledge, Python familiarity, fundamental AI/ML concepts, Experience with network management tools is a plus
Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam
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 optimise 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.
Who should enrol:
Networking Professionals: Modernise your skill set by integrating AI for automation and optimisation.
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 optimise infrastructure and network performance.
Students & New Graduates: Build a competitive CV with future-proof AI networking skills.
Cybersecurity Analysts: Seeking to utilise AI-driven solutions for threat detection, network protection, and predictive analytics.
