2025 AI Learning Roadmap
Using the Rinnegan learning method to help you study and implement AI faster.
Core: Getting Started
Focus on practical AI exploration with user-friendly tools and interfaces. This hands-on approach keeps you motivated while teaching foundational skills that build confidence for future growth.
▶️ Understanding AI Models
- Exploring LLM Models
- Commercial Models (GPT, Claude, Gemini)
- Open Source Models (Llama, DeepSeek)
- Model Capabilities & Limitations
▶️ Prompt Engineering & Interaction
- Effective Prompting Techniques
- Understanding Context & Instructions
- Chain-of-Thought & Advanced Prompting
- Practical Prompt Templates
AI Tools Exploration
- Chat Interfaces (ChatGPT, Claude, DeepSeek)
- Google AI Studio & Similar Platforms
- ▶️ No-Code Agent Tools (n8n, Zapier AI)
Programming Foundations
- Python Basics for No-Code Enhancement
- Using APIs to Build Workflows
Projects
- Personal AI Assistant for Task Management
- AI-Powered Flashcard Study Tool
- Basic AI Chatbot with Custom Responses
Middle Circle: Foundations
Now explore how AI applications are built and customize solutions with practical knowledge. Learn to leverage existing frameworks and tools to create applications that solve real problems.
Intermediate Python
- Object-Oriented Programming (OOP)
- Exception Handling & Debugging
- File Handling & Data Manipulation
- Working with APIs & Automation
AI Development Frameworks
- LangChain Architecture & Components
- LlamaIndex for Knowledge Retrieval
- Semantic Kernel & Advanced Frameworks
- Multi-Agent Frameworks (AutoGen, CrewAI, LlamaIndex)
AI Application Development
- Building Applications with Multiple APIs
- Model Chaining & Orchestration
- Custom Agent Development
- Deployment, Scaling & Monitoring
Advanced Model Techniques
- Retrieval-Augmented Generation (RAG)
- Fine-Tuning language Models
- Multi-Modal AI Techniques
Projects
- Multi-Agent AI Assistant
- AI-Powered Document Summarizer
- Automated AI Chatbot for Customer Support
Outer Circle: Specialized Knowledge
Specialize and stand out! Pick your AI specialization and go deep. This expertise will make your portfolio shine, open career doors, and let you build truly impressive applications.
Deep Learning Mastery
- Neural Network Architectures
- Training & Hyperparameter Optimization
- Backpropagation & Loss Functions
- Training Custom AI Models for Niche Use Cases
- Mathematical Foundations for AI
Specialization Tracks
Computer Vision
- Convolutional Neural Networks (CNNs)
- Generative Models (GANs & Diffusion Models)
Natural Language Processing
- Transformer Models & LLMs
- Text Generation & Summarization
- AI-Powered Conversational Agents
Reinforcement Learning
- Agent-Environment Interactions
Projects
- AI-Powered Image Recognition System
- Custom AI Model for Financial Forecasting
- Self-Learning AI Agent for Decision Making
Learning Tips
Use these strategies to stay on track and maximize your AI learning experience.
Apply knowledge immediately to reinforce learning
Don't try to learn everything at once
Get ChatGPT to explain complex concepts
Build excitement through early accomplishments
Connect with others to share knowledge and stay motivated
Explaining concepts to others solidifies your understanding
Video Resources from Tina
Watch these tutorials to jumpstart your AI learning journey
Created for beginners starting their AI journey in 2025
