1️⃣ *Python Programming*
– Language most utilized in AI & ML projects
2️⃣ *Machine Learning Algorithms*
– Linear regression, decision tree, SVM, etc.
3️⃣ *Deep Learning*
– Neural networks, CNNs, RNNs, transformers
4️⃣ *Natural Language Processing (NLP)*
– Chatbots, text processing, LLMs such as ChatGPT
5️⃣ *Computer Vision*
– OpenCV, object detection, image classification
6️⃣ *Data Handling using Pandas & NumPy*
– Efficient data manipulation & analysis
7️⃣ *Model Deployment*
– With Flask, FastAPI, Docker, or cloud providers
8️⃣ *MLOps*
– Simplification of ML pipelines (CI/CD, monitoring, automation)
9️⃣ *Prompt Engineering*
– LLM input design to get better outputs
🔟 *Ethical AI & Fairness*
– Bias, transparency & responsible AI
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✨Closing up!
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