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AI Learning Roadmap
Table of Contents
- Introduction
- Why Pursue AI Automation Skills?
- Overview of the 90-Day Roadmap
- Week 1–4: Foundations of AI and Automation
- Week 5–8: Intermediate Tools & Techniques
- Week 9–12: Advanced Concepts and Real-World Applications
- Free Resources to Accelerate Your Learning
- Tips for Staying Motivated and Consistent
- Conclusion
Introduction
The AI revolution is reshaping industries rapidly, and acquiring AI automation skills opens rewarding career and business opportunities. However, starting from scratch can feel overwhelming. This 90-day roadmap guides beginners through structured learning, empowering them to become AI experts proficient in automation tools and techniques—all using freely accessible resources.
Why Pursue AI Automation Skills?
AI automation skills enhance productivity, solving complex problems with intelligent workflows. From automating mundane tasks to building smart assistants, mastering AI can boost personal effectiveness and business value. Moreover, employers increasingly seek candidates with practical AI and automation know-how.
Overview of the 90-Day Roadmap
This progressive roadmap divides learning into three key phases: Foundations, Intermediate, and Advanced, delivering a balanced mix of theory, hands-on projects, and resource curation for a holistic skill set.
Week 1–4: Foundations of AI and Automation
- Understand basic AI concepts: machine learning, NLP, neural networks.
- Learn fundamentals of automation and workflow design.
- Explore introductory Python programming focused on AI use cases.
- Familiarize with no-code AI automation platforms like Zapier, Make.com, and N8N.
Week 5–8: Intermediate Tools & Techniques
- Deep dive into AI APIs such as OpenAI GPT models, Google AI, and Azure AI services.
- Build custom AI chatbots and automated workflows using no-code and low-code tools.
- Learn data preprocessing, understanding datasets, and training basic models.
- Start creating portfolio projects integrating AI APIs with automation platforms.
Week 9–12: Advanced Concepts and Real-World Applications
- Master advanced AI topics like multi-agent systems, vector databases, and retrieval-augmented generation (RAG).
- Implement AI security best practices and workflow optimization strategies.
- Explore industry-specific AI automation use cases in marketing, healthcare, and finance.
- Finalize a capstone project demonstrating AI automation expertise.
Free Resources to Accelerate Your Learning
- Coursera & edX: Intro AI, Machine Learning, Python for AI courses.
- OpenAI Documentation: Tutorials on GPT usage and API integration.
- YouTube Channels: AI and automation walkthroughs by leading educators.
- No-Code Communities: Forums for Zapier, Make, and N8N users.
- GitHub: Sample projects and scripts for AI automation workflows.
Tips for Staying Motivated and Consistent
- Set weekly learning goals and track progress.
- Join study groups or online communities for support and accountability.
- Apply learning to real problems to solidify understanding.
- Celebrate milestones and iterate your roadmap as needed.
Conclusion
Becoming an AI expert in 90 days is ambitious yet achievable with focused effort and the right resources. This roadmap equips learners with a clear path and free tools to build lasting AI automation skills. Embark on this journey today and position yourself at the forefront of the AI-driven future.