Free 365-Day No-Code AI, Azure and Cybersecurity Path
Follow a beginner-friendly curriculum covering generative AI, prompt engineering, Microsoft Copilot, Azure cloud fundamentals, Power Automate, cybersecurity, privacy, governance, compliance and technology consulting.
AI and Prompt Engineering
Practice responsible prompting, output evaluation, research workflows and business-focused AI use.
Azure and Cloud Fundamentals
Understand cloud services, identity, data protection, architecture, cost and AI-900-aligned concepts.
Automation and Security
Map workflows, build no-code automations and apply cybersecurity, privacy and governance controls.
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Open the study plan · Certification roadmap · Compare the coding path
Learn AI, Azure and cybersecurity without writing code
The No-Code Path focuses on practical technology use, business analysis and responsible adoption. It is suitable for learners who want to work with AI and cloud services through interfaces, prompts, workflows and governance rather than software development.
Generative AI and prompt engineering
Practice prompt design, output evaluation, fact checking, document workflows, Microsoft Copilot, ChatGPT-style assistants and responsible use of generative AI.
Microsoft Azure and cloud fundamentals
Learn cloud concepts, Azure services, identity, data protection, architecture, cost awareness and foundational AI services aligned with beginner certification topics.
Automation, governance and cybersecurity
Map processes, improve workflows, use no-code automation, assess privacy and security risks, and communicate technology decisions to business stakeholders.
Who this is for
- Business, operations, support, project-management and administrative professionals.
- IT professionals moving toward AI governance, cloud consulting or security awareness roles.
- Small-business owners and freelancers exploring practical automation and AI-assisted workflows.
- Beginners who want a technology career path without starting with programming.
Practical learning outcomes
- Create reusable prompts, workflow maps, governance notes and client-ready recommendations.
- Discuss Azure, AI, privacy, security and automation with technical and non-technical stakeholders.
- Evaluate tools for data handling, cost, permissions, vendor lock-in and adoption risk.
- Prepare portfolio evidence and foundational certification study milestones.