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This page is a living guide and gets revised as courses, certifications, and tools change.
Artificial Intelligence (AI) is transforming industries, automating tasks, and creating new opportunities worldwide. Whether you’re a beginner or an experienced professional looking to upskill, the best time to learn AI is today! But where do you start? This guide walks you through the best resources and courses to help you master AI in 2026.
Also, check this AI Glossary for an introduction to the core terms.
Table of Contents
Start with the Basics: Learn Python
Before diving into AI, you need a strong foundation in Python, the most widely used programming language in AI and machine learning. If you’re new to coding or want to strengthen your skills, this course will set you on the right path:
- The Complete Python Bootcamp: From Zero to Hero in Python Enroll here
Master AI and Deep Learning with PyTorch
Once you’re comfortable with Python, it’s time to explore deep learning with PyTorch, one of the most popular AI frameworks used in research and production. Here are two excellent courses:
- PyTorch for Deep Learning with Python Bootcamp Enroll here
- Python for Computer Vision with OpenCV and Deep Learning Enroll here
Follow a Structured AI Learning Path at KodeKloud
If you’re looking for a comprehensive AI learning journey, KodeKloud offers an AI Learning Path with hands-on labs and real-world projects. The program covers:
- Learn AI Basics with Azure and AWS
- AWS Certified AI Practitioner
- AI-900: Microsoft Certified Azure AI Fundamentals
- Master Prompts and AI-Driven Kubernetes
- Introduction to K8sGPT and AI-Driven Kubernetes Engineering
- Build Advanced Apps with AI (LangChain & OpenAI)
- Enhance Coding with AI Tools (AI-Assisted Development)
Explore the KodeKloud AI Learning Path
Learn Claude and Agentic AI with Claude Academy
Claude Academy is Anthropic’s own training hub, and it has grown into a proper library, covering everything from everyday Claude usage to building production AI systems.
A few worth starting with:
- Claude 101 - your first conversation, effective prompting, projects, artifacts, and connected tools
- AI Fluency: Framework & Foundations - a practical framework (Delegation, Description, Discernment, Diligence) for working with AI effectively and safely
- Claude Code 101 - the agentic coding tool that lives in your terminal
- Building with the Claude API - prompting, tool use, RAG, agents, and MCP, end to end
- Introduction to Model Context Protocol - build MCP servers and clients from scratch
Tip
If you already work with Kubernetes or Ansible automation, the Claude Code and MCP courses are the most relevant starting points, they map closely to the same automation mindset.
Note
This section is not sponsored or affiliated, it’s simply a resource worth knowing about.
Specialize in AI for the Cloud
Cloud platforms offer powerful AI services, and a cloud AI certification can help you stand out in the job market. The certification landscape has shifted quite a bit through 2026, so here’s where things currently stand:
AWS AI & Machine Learning Certifications
- AWS Certified AI Practitioner (AIF-C01) - the foundational-level exam, still current
- AWS Certified Machine Learning Engineer – Associate - AWS’s applied-engineering track
- AWS Certified Generative AI Developer – Professional - currently in beta, for production-grade GenAI app builders
Warning
AWS Certified Machine Learning – Specialty (MLS-C01) is being retired on March 31, 2026. If you see it referenced elsewhere, treat it as legacy, not a current path.
Microsoft Azure AI Certifications
- Microsoft Certified: Azure AI Fundamentals - entry point, exam is transitioning from AI-900 to AI-901
- Microsoft Certified: Azure AI Apps and Agents Developer Associate - building and integrating AI solutions on Azure with agentic architectures
- Microsoft Certified: Azure AI Cloud Developer Associate - back-end services, scalable architectures, and full dev lifecycle for AI apps
Warning
Azure AI Engineer Associate (exam AI-102) retired on June 30, 2026. Microsoft has split the role into the two newer certifications listed above.
Google Cloud AI Certifications
- Professional Data Engineer
- Professional Machine Learning Engineer - the exam was recently updated to reflect the shift from Vertex AI to the Gemini Enterprise Agent Platform, so refresh your prep material if you started a while back
Explore More AI Courses
Want even more AI learning resources? DeepLearning.AI provides high-quality courses from top AI experts.
Explore DeepLearning.AI Courses
Start Your AI Journey Today
AI is one of the most exciting fields to explore, and with the right resources, anyone can learn and excel in it. Whether you start with Python, PyTorch, cloud AI certifications, or Claude and agentic AI, the key is to keep learning and experimenting.