Networking & Infrastructure (CCNA-Focused)
Modern Network Engineering, Connectivity & AI-Assisted Operations
Provider
CloudSpace Academy
Duration
12-14 Weeks
Format
Instructor-Led, Live Online + Hands-On Labs
Level
Beginner to Intermediate
Capstone
End-to-end network design and troubleshooting scenario
Prerequisites
- Basic computer literacy
- Prior IT exposure helpful but not required
Course Overview
The Networking & Infrastructure (CCNA-Focused) program prepares learners to design, configure, operate, and troubleshoot modern networks using Cisco CCNA-aligned concepts enhanced with cloud networking and AI-assisted troubleshooting.
Rather than teaching configuration in isolation, this program emphasizes how networks work end-to-end, from devices and protocols to cloud connectivity and monitoring.
Graduates leave with strong networking fundamentals, practical lab experience, AI-enabled troubleshooting skills, and readiness for Cisco CCNA certification or advanced CloudSpace tracks.
Who This Program Is For
- Aspiring network engineers
- IT professionals strengthening networking skills
- Career switchers entering infrastructure roles
- Students preparing for Cisco CCNA certification
- Veterans and transitioning service members
- No prior Cisco experience is required
Program Outcomes
- Understand how data moves through modern networks
- Configure and troubleshoot Cisco-based networks
- Apply routing, switching, and IP addressing concepts
- Secure and segment networks appropriately
- Understand hybrid and cloud networking fundamentals
- Use AI tools to assist troubleshooting and documentation
- Prepare confidently for the Cisco CCNA exam
Detailed Syllabus
Phase 1
Networking Fundamentals & Modern Network Thinking (Weeks 1-2)
Topics Covered
- What networks do and why they matter
- Network components and roles
- OSI and TCP/IP models (conceptual, not memorization)
- How data flows through a network
- Introduction to AI as a network assistant
Outcome
Students develop a mental model of how networks operate end-to-end.
Phase 2
IP Addressing, Subnetting & Network Design (Weeks 3-4)
Topics Covered
- IPv4 and IPv6 fundamentals
- Subnetting and address planning
- Network segmentation and efficiency
- Common addressing mistakes
- AI-assisted subnetting and design validation
Outcome
Students can design IP addressing schemes and understand traffic segmentation.
Phase 3
Switching Technologies (Weeks 5-6)
Topics Covered
- Ethernet fundamentals
- VLANs and trunking
- Switching behavior and MAC tables
- Inter-VLAN routing concepts
- AI-assisted switching troubleshooting
Outcome
Students can configure and reason about switched networks.
Phase 4
Routing Fundamentals (Weeks 7-8)
Topics Covered
- Routing principles and packet forwarding
- Static and dynamic routing concepts
- OSPF fundamentals (CCNA-aligned)
- Route selection and path determination
- AI-assisted routing analysis
Outcome
Students can configure routing and understand how networks choose paths.
Phase 5
Network Security & Services (Weeks 9-10)
Topics Covered
- Network security fundamentals
- Access control lists (ACLs)
- Firewalls and segmentation
- Core network services (DNS, DHCP, NAT)
- AI-assisted security and misconfiguration detection
Outcome
Students can apply basic network security controls and services.
Phase 6
Wireless, Monitoring & Cloud Networking (Weeks 11-12)
Topics Covered
- Wireless networking fundamentals
- Monitoring and network visibility
- Logs, metrics, and alerts
- Introduction to cloud networking (AWS VPC concepts)
- Hybrid connectivity overview
- AI-assisted monitoring and troubleshooting
Outcome
Students understand modern network visibility and cloud connectivity.
Phase 7
Capstone & CCNA Readiness (Weeks 13-14)
Capstone Project
Students design, configure, and troubleshoot a multi-device network including IP addressing, VLANs, routing and switching, security controls, and failure simulation and resolution.
Final Deliverables
- Network topology diagram
- Configuration files
- Troubleshooting notes
- AI-assisted documentation
Outcome
Students demonstrate readiness for CCNA-level roles and certification.
AI-Assisted Networking Workflows Taught
Throughout the program, students learn how to:
- Use AI to reason through network problems
- Validate configurations before deployment
- Interpret logs and symptoms
- Accelerate troubleshooting without guessing
- Improve clarity in network documentation
- Use AI as a diagnostic and learning accelerator
Final Graduation Outcomes
Graduates leave with:
- Strong networking fundamentals
- Cisco CCNA-aligned knowledge
- Hands-on lab experience
- AI-assisted troubleshooting confidence
- Readiness for network engineer or infrastructure roles
- A clear path into cloud, DevOps, or security tracks