AI is the most in-demand skill of this decade. If you want to become an AI Engineer by 2026, you need a clear roadmap and the right resources. The good news? You don’t need to spend thousands of dollars—there are plenty of free resources available to get started.
🎥 Watch the complete video below where we break down this roadmap in detail with examples and free tools!
Step 1: Learn the Basics of Programming
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Start with Python (most beginner-friendly language for AI).
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Free Resource: [Python for Everybody (Coursera)] or YouTube playlists.
Step 2: Mathematics for AI
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Focus on Linear Algebra, Probability, and Statistics.
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Free Resource: Khan Academy & 3Blue1Brown (YouTube).
Step 3: Machine Learning (ML) Foundations
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Learn how algorithms work: regression, classification, clustering.
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Free Resource: Andrew Ng’s Machine Learning Course (Coursera).
Step 4: Deep Learning & Neural Networks
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Understand CNNs, RNNs, Transformers.
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Free Resource: DeepLearning.AI free courses & YouTube tutorials.
Step 5: Data Science & Data Engineering
Learn Pandas, NumPy, SQL for handling data.
Free Resource: Kaggle (Hands-on datasets & projects).
Step 6: Natural Language Processing (NLP)
Build chatbots, translation systems, sentiment analysis.
Free Resource: HuggingFace free course.
Step 7: Generative AI & Prompt Engineering
Master ChatGPT, MidJourney, and other GenAI tools.
Free Resource: OpenAI official docs & free YouTube guides.
Step 8: AI Tools & Frameworks
Learn TensorFlow, PyTorch, LangChain.
Free Resource: Official documentation & GitHub projects.
Step 9: Cloud & Deployment Skills
Host your AI models on AWS, Azure, or Google Cloud.
Free Resource: Free tier cloud accounts & tutorials.
Step 10: Build Projects & Portfolio
Start small: Chatbots, recommendation systems, AI-powered apps.
Showcase on GitHub & LinkedIn.
✅ Final Note:
By following this roadmap in 2025, you’ll be ready for AI Engineer roles by 2026. Remember: consistency > resources. Use the free tools mentioned, build projects, and keep learning.
🎥 Don’t forget to watch the full video below for detailed explanations and practical examples!