The Complete AI Engineer Roadmap for 2025
Everything you need to go from zero to job-ready AI engineer — Python, ML fundamentals, LLMs, MLOps, and portfolio projects explained step by step.
A proven 90-day study plan for passing your AWS Solutions Architect Associate exam — with free resources, practice tests, and a week-by-week schedule.
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Everything you need to go from zero to job-ready AI engineer — Python, ML fundamentals, LLMs, MLOps, and portfolio projects explained step by step.
Master the techniques that top AI engineers use to get the best results from ChatGPT, Claude, and Gemini — with real examples and templates.
Go from Python basics to building and deploying production LLM applications. Covers ML, deep learning, LLMOps, and portfolio projects.
A structured path to passing the AWS SAA-C03 exam and landing cloud architecture roles at top companies.
Master Docker, Kubernetes, Terraform, CI/CD pipelines, and cloud platforms to become a production-ready DevOps engineer.
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I audit your AWS/GCP/Azure account and deliver a clear cost optimisation report.
Custom analytics dashboards and scripts tailored to your cloud data sources.
1:1 session with a personalised roadmap PDF and mindmap built just for you.
Real salary data from 500+ DevOps engineers — broken down by experience, certifications, location, and company size.
A hands-on Kubernetes tutorial that explains pods, deployments, services, and ingress controllers — without the jargon.
The exact Python skills you need to land a data science job — covering NumPy, pandas, matplotlib, scikit-learn, and real project ideas.
Learn Terraform from scratch — providers, resources, state management, modules, and CI/CD integration covered with working examples.
We surveyed 200+ hiring managers to find out which AI certifications actually help you get hired — and which ones are a waste of money.