Complete AI Roadmap 2025
Transform from complete beginner to AI professional in just 6 months with this proven roadmap that's helped hundreds of students land AI jobs.
The 5-Phase Learning Path
Build your programming and mathematical foundation with Python and essential math concepts like linear algebra and statistics.
Key Skills
- Python Programming
- Linear Algebra
- Statistics
- Data Structures
Master machine learning fundamentals, understand supervised vs unsupervised learning, and dive into deep learning concepts.
Key Skills
- Machine Learning
- Neural Networks
- TensorFlow
- PyTorch
Focus on high-demand areas like Generative AI, learn prompt engineering, and build applications with Large Language Models.
Key Skills
- Generative AI
- LLMs
- Prompt Engineering
- OpenAI API
Learn MLOps, cloud deployment, containerization with Docker, and get certified in major cloud platforms.
Key Skills
- MLOps
- Docker
- Cloud Platforms
- CI/CD
Build 3 standout projects, create video demos, write compelling documentation, and showcase your skills to employers.
Key Skills
- Project Building
- Documentation
- GitHub
- Presentation
6-Month Timeline
Foundation Building
Python basics, Linear algebra essentials
Core AI/ML
Andrew Ng course, First ML model
GenAI Focus
LLMs course, Prompt engineering
Advanced GenAI
OpenAI API applications
Deployment
Cloud platforms, Docker basics
Portfolio & Jobs
3 projects complete, Start applying
Free Learning Resources
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DataCamp Python FundamentalsInteractive Python courses with hands-on practiceVisit DataCamp →
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Codecademy Python CourseStructured learning path with practical projectsStart Learning →
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Khan Academy Linear AlgebraFree, comprehensive linear algebra courseLearn Math →
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Khan Academy StatisticsEssential statistics and probability conceptsStudy Stats →
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Andrew Ng's Machine Learning CourseThe gold standard for ML education on CourseraTake Course →
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DeepLearning.AI CoursesComprehensive deep learning specializationExplore Courses →
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TensorFlow DocumentationOfficial TensorFlow tutorials and guidesLearn TensorFlow →
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PyTorch TutorialsOfficial PyTorch learning resourcesMaster PyTorch →
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Generative AI with LLMsDeepLearning.AI course on how GenAI models workStart Course →
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OpenAI API CourseDataCamp course on building AI applicationsBuild Apps →
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Prompt Engineering GuideLearn to craft effective AI promptsMaster Prompts →
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Hugging Face CourseFree course on transformers and NLPStart Learning →
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AWS SageMakerComplete ML platform from AWSExplore AWS →
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Google Vertex AIGoogle's unified ML platformTry Google Cloud →
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Azure AI FoundryMicrosoft's AI development platformUse Azure →
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Docker TutorialLearn containerization basicsLearn Docker →
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AI Collection RepositoryInspiration for GenAI applications across industriesBrowse Projects →
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Kaggle DatasetsFind interesting data for unique solutionsExplore Data →
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GitHub Portfolio GuideLearn to showcase your work professionallyBuild Portfolio →
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AI Engineering DiscordWeekly challenges and feedback from engineersJoin Community →
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Google ColabFree GPU access for training modelsStart Coding →
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Papers with CodeLatest AI research with implementationsRead Papers →
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Weights & BiasesExperiment tracking and visualizationTrack Experiments →
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Coursera AI CertificatesProfessional certificates from top universitiesGet Certified →