05/06/2025
🤖 AI Engineer Roadmap – Step-by-Step Visual Guide
If you're aiming to become an AI Engineer, this is your path.
From the foundations to deployment, here’s what you need to master:
➤ Intro to AI
Understand the impact of AI, key applications & trends
➤ Mathematics
Statistics, probability, linear algebra & calculus form your core toolkit
➤ Programming
Master Python, R, or Java to bring your AI logic to life
➤ Big Data
Learn tools like Hadoop, Spark, Cassandra & MongoDB to handle real-world data
➤ Data Science
Learn data acquisition, cleaning, analysis, and manipulation
➤ Machine Learning
Explore supervised, unsupervised & reinforcement learning with Scikit-learn
➤ Deep Learning
Work with neural networks, CNNs, RNNs, GANs & frameworks like TensorFlow, Keras
➤ Business Intelligence
Translate insights with Tableau, Power BI, and Quikview
🎯 The journey ends with one destination: AI Engineer
Start building your AI career with expert-taught courses:
🔗 IBM AI Developer Professional Certificate → https://imp.i384100.net/c/5617308/2111383/14726
🔗 Generative AI with Large Language Models → https://imp.i384100.net/c/5617308/2804911/14726
🔗 Prompt Engineering for ChatGPT →
https://imp.i384100.net/c/5617308/2806824/14726
🔗 Google AI Essentials → https://imp.i384100.net/c/5617308/2022070/14726
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