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Become CCIE DevNet Expert with PyNet Labs

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CCIE DevNet Lab (v1.0) Certification Training Details

Training type
Instructor-led Online Training
Industry Expert Trainer | Unlimited Lab Access | PDF & Lab Workbooks
Batch Type
Weekends / Weekdays ( 2-3 Hours in a day )
8 Weeks or 12 Weekends
PyNet Labs Training Completion Certificate
Demo Class


The Cisco Certified DevNet Expert Lab exam is one of Cisco's most well-awaited lab exams. It got live on 2nd May 2022, almost two years and three months later, when Cisco revised all its certification tracks and introduced the DevNet (Development Network) track.  

Excellent news and scope for developers, Network Automation Engineers, Network Architects, and NetDevOps Engineers to advance their careers with CCIE DevNet Training.

CCIE DevNet can open the door to senior-level positions in the NetDevOps landscape, translating advanced skills, leadership roles, better pay, and more respect within the industry.

The NetDevOps realm is getting bigger and broader, and there is no better time than today to upskill yourself as a NetDevOps professional. Obtaining CCIE DevNet skills will put you in a position to lead a team of NetDevOps engineers and give you expert-level skills to plan, design, develop, and maintain complex automation-driven network environments.

Before getting any further, let's understand what NetDevOps is.

Over the last decade, DevOps (Development & Operations) have gained the eyesight of lots of tech-giant companies. DevOps is basically a sustainable combination of methods, practices, and technologies that an organisation uses to develop a product, be it software, application, or solution.

The Network Infrastructure is also growing rapidly, and organisations have desperately sought to replace the raw practices of making changes in the network infrastructures and manually storing a record of that change in the documentation. This method of developing a network has been very manual, inefficient and unscalable. In fact, network changes are seen with high-risk tasks costing time, money and ultracareful procedures.

Due to the same, organisations are now adopting DevOps practices in the Network Infrastructure for continuous development, and it's called “NetDevOps”.

As NetDevOps ensures small and frequent changes in a much more automated, efficient and reliable way, Cisco, the major endorser of NetDevOps, has rigorously brought concepts and labs in its DevNet track that prepares you for the Network Automation Engineer job role.

So, obtaining CCIE DevNet training and NetDevOps skills can elevate your career. Join PyNet Labs’ CCIE DevNet Lab training today and let your skills meet business requirements to scale and secure their infrastructure faster and more efficiently.

CCIE DevNet Lab Training Prerequisites:

Must have completed DEVASC 200-901 (CCNA DevNet) and DEVCOR Training.

Who should take up CCIE DevNet Training?

This course is for those who wish to elevate their NetDevOps skills to higher levels. So, this program is suitable for,

👉Developers, Network Automation Engineers, Network Architects, and NetDevOps Engineers
👉Anyone who wants to become CCIE DevNet
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Trending Blogs
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Flexible Batches
Study Material
3/ 4 / 6 / 8 hours sessions
Life-time Access to Recordings

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Upcoming Batch details




Batch 1
Weekends Batch
(Saturday and Sunday)
25th February to 21st May 2023
CCIE DevNet Lab Training
1 PM to 4 PM Indian Time
2: 30 AM to 5: 30 AM Eastern Time
7: 30 AM to 10: 30 AM UTC/GMT00

CCIE DevNet Training Highlights

  • Instructor-Led-Online (ILO) training by Mr Abhijit Bakale
  • He has ten years total and four years of niche experience in Network Automation Training and Consultancy.
  • Training Duration - 80 Hours
  • PDF Books and Lab Workbooks will be provided
  • We will follow Cisco's official course outline and add a few more customised case studies.
  • The lab outline has been created keeping exam and production scenarios in mind
  • UNLIMITED Lab Access for each learner
  • Dedicated in-house Lab with 24*7 accessibility
  • Lifetime Access to the class recordings
  • Lifetime Access to a private telegram group for doubts and queries
  • We make sure LABS are available for practice during the class/right after class
  • PyNet Labs course completion certificate with a unique Certificate ID
  • Language to be followed in training - English
  • Language to be followed for Jokes and fun in between - English

LAB Outline

  • Utilising REST API for interacting with ACI Infrastructure via APIC
  • Deep Dive into structuring YANG Data Modelling using YANG Suite
  • Creating YANG Data Models to perform Schema Definition
  • Install, Configure, and Manage Cisco NSO to manage multi-platform Network Infrastructure (IOS, IOS-XE, NX-OS)
  • Performing Advanced IOS Automation utilising Netmiko Library
  • Model Driven Programmability using NETCONF & RESTCONF
  • Streaming Model Driven Telemetry using NETCONF & RESTCONF
  • Designing Network Automation Workflow utilising CI/CD Pipelines
  • Integrating Ansible, Terraform, and Gitlab for designing CI/CD Workflows
  • Performing pre-deployment Network Tests using pyATS
  • Workflow Credential Management using Vault Engine
  • Setup Docker and Kubernetes Cluster for full-scale automation

Topology To Be Used in CCIE DevNet Lab Training

Devices Used

  • Ubuntu Linux: 22.04 LTS
  • IOSv Switches
  • IOSv Routers
  • Cisco Catalyst 8000v
  • Cisco ASAv
  • Nexus 9300v (N9Kv) Switches
  • Cisco Application Policy Infrastructure Controller 5.2 w/ ACI Simulator

Get Placement Assistance

Placement assistance by PyNet Labs is for our students who take training from us and are looking for better career opportunities. We will guide you through resume writing, applying for unlimited job interviews, and keep you updated about infinite job openings via our official Telegram Channel.

We will also assist you personally to get a good job in India.

Feel Free To Contact For Your Queries
+91- 98212 15002

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Meet Your Trainer

Trainer @PyNet Labs

Abhijit Bakale

(CTO & CO-Founder at PyNet Labs)
Abhijit has delivered 12000+ hours of training internationally in past 10 years.

Abhijit has delivered trainings and consulted for various SD-WAN, ACI, Nexus projects for companies like HCL, Cognizant, PepsiCo, Colt, Cisco. Abhijit has been very actively working on technologies like OSPF, EIGRP, BGP, MPLS, Nexus, DevNet, ACI and many more.

Abhijit has also consulted on various SDN solutions for Indian defence clients as well. His student base ranges from Global Offshore Clients, Defense Institutions, International Government Organizations, Top Private Universities, Air Traffic controllers, Networking Professionals working in core production and Engineering students from around the globe.
His Certifications:
Cisco Implementing and Operating Cisco Enterprise Network Core ENCOR 350- 410
Developing Applications using Cisco Core Platforms and APIs DEVCOR 350-901
Cisco ENSDWI - SD-WAN - 300-415
Cisco Implementing Automation for Cisco Enterprise Solutions (ENAUI) ENAUTO 300-435
Cisco DevNet Associate - Developer Certification DEVASC 200-901
Juniper Automation and DevOps, Associate (JNCIA-DevOps) JN0-221
Juniper Cloud Associate (JNCIA-Cloud) JN0-211
Cisco Certified Network Associate CCNA 200-301

Students Review

  • "Excellent tutor and teaching method. Highly recommend."
    Olukayode Oni
    SpectraNet Limited
  • "Class was really interactive and content was good . Overall a really good experience All topics are nicely explained."
    Charmi Garg
    Bharti Airtel
  • PyNet labs is the best place to learn new technologies. For better reach in technologies as well as to be feasible in our career growth I recommend PyNet labs. Special thanks to Abhijit and Deepanshu who are there to guide us and help us in each and every part.
    Aripaka Kiran
    Synophic Systems Pvt. Ltd.
  • I have completed my SDWAN course from PyNet Labs and it was really a great journey, it helped me lot to learn about overlay network. I cleared multiple interviews after completion of SDWAN course as its in demand and future of networking.
    Rakesh Choudhary
    Orange Business Services
  • It was great learning for me. Abhijit is very helpful & skillful trainer.
    Pryank Negi
  • I took SD-WAN training from PyNet and I would really like to thank PyNet & Abhijit (Trainer). Abhijit is very knowledgeable and he is very supportive. I would also recommend others for this training.
    Ruchik Kumar
    Orange Business Services
  • PyNet introduced me to labs. They are consistent, precise and straight on point. If you haven't tried them, you have missed a lot. Mr Abhijit, Deepansha, Nitish and the rest of the team, continue with that excellent work you are doing. You are the best among the best.
    Chola Kabaso
    Livingstone, Southern, Zambia
  • I would like to thanks the complete team of PyNet Labs (Mr. Deepanshu, Mr. Nitish & Mr. Abhijit). It was a great & useful learning on SD-WAN. The trainer Mr. Abhijit Bakale was incredibly knowledgeable & supportive. There way of teaching was very effective. I would definitely recommend this my co-workers as well as my friends.
    Dev Chouhan
    Ananda livemore
  • Hi All, I attended online SD-WAN Training from PyNet Labs and this is awesome. Even a person without having SD-WAN knowledge can easily Implement SD-WAN solution after this training. Labs are very effective and it is step by step procedure with clear explanation. We will be working on SDWAN in real time, but some concepts may not clear. But here u will come to know very basic and this is added value for Network engineer. Thank you, complete team!!!
  • The trainer and the management at PyNet labs are awesome..... You get assistance even after your batch is over.... You can reach out to them for your doubts any time. Highly recommended!
    Tarun Choudhary
  • I will enroll again. I am completely confident configuring SDWAN fabrics. Nice lab environment and experiences.
    Almazan, Philippines
  • Abhijit unleash all the concepts to get Devnet associate exam. I am glad that I took this course from PyNet. Looking to connect to PyNet soon for Cisco DEVCOR.
    Anuj Jain
  • Awesome trainer with up to date content. This really helped me to kick start my automation journey. Python baba ki jai.
    Vaibhav Mullick
    Software One
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