Learning AI
At Synaptiks.ai, we believe AI is for everyone—not just researchers or developers. This document outlines three distinct paths for learning AI: Novice, Enthusiast, and Geek. Each path offers tailored resources and milestones to help individuals navigate the world of AI at their own pace, from understanding basic concepts to diving deep into AI development. We emphasize the importance of hands-on learning and experimentation with AI tools to truly grasp the technology's potential.
1
Novice: Understanding the Big Picture
Perfect for beginners who want to grasp fundamental AI concepts through user-friendly resources and interactive materials.
2
Enthusiast: Hands-On Learning
Ideal for those ready to experiment with AI tools and applications, gaining practical experience through real-world projects.
3
Geek: Deep Dive into AI Development
Designed for those ready to master advanced concepts and development techniques in artificial intelligence.
Novice: Understanding the Big Picture
For those looking to grasp AI's potential and its role in business and society, the Novice path offers a comprehensive introduction to AI concepts and applications.
What You'll Learn
What is AI? Simplified concepts without the jargon.
AI in Action
Examples across industries (healthcare, finance, retail, etc.).
The Impact of AI
Opportunities, risks, and ethical considerations.
Resources to Explore
Your First Milestone 😍
Think about how AI could be applied in your industry or organization and send us your ideas !
Enthusiast: Hands-On Learning
For those with basic AI knowledge, ready to start building and experimenting, the Enthusiast path offers practical tools and resources for hands-on learning.
What You'll Learn
Practical AI: From data collection to building simple models.
Core Tools
Notebooks, Pandas, PyTorch, and many more!
Resources to Explore
Your Next Milestone 😍😍
Go on Huggingface, download the model of your choice and finetune it to your own need !
Geek: Deep Dive into AI Development
For advanced learners ready to experiment, innovate, and contribute to AI research, the Geek path offers resources for deep diving into AI development.
What You'll Learn
Advanced architectures: Transformers, MoE, and Reinforcement Learning …
Cutting-edge Research
Reading, implementing, and replicating research papers.
Infrastructure
Using GPUs, TPUs, and deploying AI models at scale.
Resources to Explore
Your Ultimate Milestone 😍😍😍
Join EleutherAI discord and participate to the discussions !