A naukri.com initiative
Medium
2d
94
Image Credit: Medium
Writeup: Learning Artificial Intelligence as a Software Engineer
- As of 2025, the advancement of AI is rapidly evolving with new models like LLMs and multi-modal AI continuously improving.
- AI developments such as OpenAI's image generation and AI coding surpassing junior developers indicate the growing mainstream presence of AI.
- Many AI startups are receiving funding, emphasizing the high demand for researchers, engineers, and startups in the AI field.
- The writer emphasizes the accessibility of learning AI, citing personal experience and encouragement for others to engage in AI education.
- The writer's chosen method for learning AI is through fast.ai's course, utilizing both video lectures and books for a comprehensive understanding.
- Initial misconceptions about AI include the broader scope beyond just LLMs or neural networks, and the misconceptions around deep learning and GPU requirements for training data.
- The fast.ai course introduces practical training such as image classification and model building in Jupyter notebooks, emphasizing hands-on learning with PyTorch.
- The writer suggests creating a 'playground' for experimentation to understand errors and improve learning processes.
- Challenges like outdated APIs are addressed by utilizing alternatives like Duck Duck Go for data collection and utilizing platforms like Google Colab and TensorDock for training.
- The writer plans to continue learning AI, expanding vocabulary, moving on to state-of-the-art papers, and working on practical projects.
- The experience of learning AI and sharing the journey underscores the importance of continuous learning and knowledge sharing in productive ways.
Read Full Article
5 Likes
For uninterrupted reading, download the app