The Certification Roadmap: Python to Azure AI
A step-by-step certification roadmap from Python and Linux through cloud, AI and DevOps, with what each exam covers and how to sequence them.
By Code Nexus team · 6 min read · Published · Updated · Reviewed by Code Nexus team
There are hundreds of IT certifications, and picking a route through them is confusing. This roadmap gives you one sensible order for someone who wants to become an AI engineer: start with the programming language, add the operating system and tools, learn the cloud, then the AI services, and finish with delivery and operations. It explains what each exam is for, how they fit together, and how to decide which you actually need.
The idea behind the order
Every step depends on the one before it.
- You cannot build AI applications without a language. So Python comes first.
- You cannot run them without an operating system and tools. So Linux and version control come next.
- You cannot deploy them without a cloud. So cloud fundamentals come before AI services.
- You cannot keep them running without delivery skills. So containers, pipelines and DevOps come last.
The certifications are checkpoints along this path. They are not the goal. The goal is being able to do the work, and each exam is an independent way to check that a block of skills has stuck.
The roadmap at a glance
| Step | Certification | What it proves | Stage |
|---|---|---|---|
| 1 | PCEP-30-02 PCEP | Python fundamentals | Language |
| 2 | PCAP-31-03 PCAP | Modules, strings, object-oriented Python | Language |
| 3 | 010-160 Linux Essentials | Command line, permissions, scripting | Tools |
| 4 | GH-900 GitHub Foundations | Version control and collaboration | Tools |
| 5 | AZ-900 Azure Fundamentals | Cloud concepts on Azure | Cloud |
| 6 | CLF-C02 AWS Cloud Practitioner | Cloud concepts on AWS | Cloud |
| 7 | AI-901 Azure AI Fundamentals | AI workloads and services on Azure | AI |
| 8 | AIF-C01 AWS AI Practitioner | AI and generative AI concepts on AWS | AI |
| 9 | AI-103 Developing AI Apps and Agents on Azure | Building AI applications and agents | AI |
| 10 | KCNA Kubernetes and Cloud Native Associate | Containers and cloud-native concepts | Delivery |
| 11 | AZ-400 DevOps Engineer Expert | Designing and running DevOps solutions | Delivery |
Guides for each exam are published as they are completed, and the exam codes above turn into links as each guide goes live.
Stage 1: The language
PCEP and PCAP
Python is the main language of AI tooling, so it is the natural first step. PCEP covers the fundamentals: values, control flow, data collections, functions and exceptions. It has no prerequisites and the exam is short. PCAP goes further, into modules, strings and object-oriented programming, which is how most real Python code, including AI libraries, is written.
Take PCEP first if you are new. If you already write Python confidently, go straight to PCAP, which the Python Institute lists with no formal prerequisites.
Stage 2: The tools
Linux Essentials and GitHub Foundations
Code runs somewhere, and that somewhere is almost always Linux. Linux Essentials teaches you the command line, file permissions and basic scripting, and the Linux Professional Institute lists its validity as lifetime. Version control is the other daily tool: GH-900 covers Git and GitHub, including collaboration, issues, pull requests and automation.
Together these two remove most of the friction of working on a real project.
Stage 3: The cloud
AZ-900 and CLF-C02
Cloud fundamentals exams teach the shared vocabulary of the modern web: compute, storage, networking, identity, pricing and shared responsibility. AZ-900 does it on Microsoft Azure and CLF-C02 does it on Amazon Web Services.
You do not need both to progress, and most people should pick the cloud their target employers use. We list both because the ideas transfer between clouds, and seeing two providers' versions of the same concept is one of the fastest ways to understand it.
Stage 4: AI
AI-901, AIF-C01 and AI-103
This is where the AI-specific skills arrive.
- AI-901 introduces AI workloads and services on Azure: what the different kinds of AI can do and how the services fit together.
- AIF-C01 covers AI and generative AI concepts on AWS, including responsible use.
- AI-103 is the developer exam. Microsoft's study guide describes the candidate as an Azure AI engineer who "builds, manages, and deploys agents and AI solutions", with skills measured across planning and managing AI solutions (25 to 30 percent), implementing generative AI and agentic solutions (30 to 35 percent), and vision, text analysis and information extraction (10 to 15 percent each).
AI-103 is the closest of these exams to daily AI engineering work, and it expects experience developing apps with Python, which is why the language comes first on this roadmap. Microsoft states that its associate, expert and specialty certifications expire annually and that you renew them with a free online assessment.
Stage 5: Delivery and operations
KCNA and AZ-400
Building an AI application is half the job. Running it is the other half. KCNA introduces containers and Kubernetes, the platform most modern workloads are deployed on, and AZ-400 covers designing and implementing DevOps solutions: source control strategy, pipelines, infrastructure as code, security and monitoring. Between them you will find that Code Nexus also teaches Docker as a skills strand, which is not a separate certification.
How to choose your own route
You do not need all eleven. Pick a route from your goal.
| If your goal is | Suggested route |
|---|---|
| Learn to program | PCEP, then PCAP |
| Work in AI engineering | Python (PCEP, PCAP), Linux Essentials, your target cloud's fundamentals, then AI-901 or AIF-C01, then AI-103 |
| Work in DevOps or platform roles | Linux Essentials, GH-900, a cloud fundamentals exam, KCNA, then AZ-400 |
| Get comfortable with the cloud | Your target cloud's fundamentals exam, then the other cloud's |
Two rules help:
- Sequence by dependency, not by prestige. Do the exam that unlocks the next one, not the one that sounds most impressive.
- Match your employers' stack. If the jobs you want use Azure, take the Azure exams first.
Are certifications worth it?
They are worth it when you use them for what they are: independent proof that you learned a defined body of knowledge, and a structured reason to learn it in a sensible order. They are not worth much as a shortcut, and they do not replace things you have built.
Costs vary and change. As examples, the Python Institute lists PCEP exams from $69, and the Linux Professional Institute directs candidates to country-specific pricing for Linux Essentials. Check each official page before you budget, and include renewal in your plan for providers that require it.
A practical approach is to study for the exam by building things that use the same skills, then take the exam as a checkpoint. You get the certificate, and you also get a portfolio. We explain why in why practice beats passive study.
How Code Nexus follows this roadmap
The Code Nexus programme is built in the same order. Its nine seasons and 72 episodes move from computer fundamentals and Python, through the command line and version control, the major clouds, AI systems, containers, pipelines and release ownership, and then autonomous agent engineering. Certification checkpoints match the syllabus of the real exams above, and every episode is a hands-on task you complete in your browser.
Code Nexus prepares you for the exams. Each certification is issued by its provider, and you book and sit the exam with them. The first 15 episodes are free and need no setup.
Go deeper
- Are IT certifications worth it? Real costs, renewal terms and a decision checklist.
- How to pass your first certification: a step-by-step preparation plan.
Start at step one
If you are unsure where to begin, begin with Python: read the PCEP guide, then create a free account and open the first Python episode.
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Frequently asked questions
- Which certification should I start with?
- If you are new to programming, start with PCEP, the Python Institute's entry-level exam. If you already write Python, PCAP or Linux Essentials may suit you better. The right first exam is the one that matches what you can already do.
- Do I have to take every exam on the roadmap?
- No. The roadmap is an order of learning, not a checklist. Each exam is a checkpoint that confirms you have learned a set of skills. Take the ones that match your goals, and skip the ones that do not.
- Do certifications expire?
- It depends on the provider. The Python Institute lists five years for PCEP and PCAP, and the Linux Professional Institute lists Linux Essentials as lifetime. Microsoft states that its associate, expert and specialty certifications expire annually and can be renewed with a free online assessment on Microsoft Learn. Always check the current terms on the official page.
- Will a certification get me a job?
- Not by itself. A certification is independent evidence that you learned a body of knowledge, and it can help a CV get noticed. Employers weigh projects and demonstrated problem solving heavily, so pair every certificate with things you have built.
- Does Code Nexus issue these certifications?
- No. Code Nexus prepares you for the exams. Each certification is issued by its provider, and you book and sit the exam with them.
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Sources
- PCEP: Certified Entry-Level Python Programmer (Python Institute) (accessed 2026-09-24)
- Linux Essentials overview (Linux Professional Institute) (accessed 2026-09-24)
- Study guide for Exam AI-103: Developing AI Apps and Agents on Azure (Microsoft Learn) (accessed 2026-09-25)