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AI Skills & Courses

55 courses to level up your AI knowledge

Hugging Face Advanced

Fine-tuning Large Language Models

Learn to fine-tune open-source LLMs using LoRA, QLoRA, and RLHF with Hugging Face's transformers library.

DeepLearning.AI Advanced

Building AI Agents with Tool Use

Build autonomous AI agents that can use tools, browse the web, write code, and complete complex multi-step tasks.

freeCodeCamp Intermediate

Vector Databases: From Concepts to Production

Master vector databases including Pinecone, Weaviate, and ChromaDB for semantic search and AI applications.

Udemy Beginner

AI Art Fundamentals: From Text to Image

Learn AI image generation with Stable Diffusion, DALL-E, and Midjourney, covering composition, style, and commercial use.

Udemy Intermediate

AI Video Production: Sora, Runway & Beyond

Create professional videos using AI tools including Runway, Pika, Sora, and HeyGen for content creators and marketers.

YouTube Beginner

AI Music Creation with Suno & Udio

Generate original music with AI using Suno, Udio, and Soundraw, covering prompting, styles, and commercial licensing.

Coursera Intermediate

AI Voice & Audio: Cloning, TTS, and Podcasts

Master AI voice technologies including ElevenLabs, voice cloning, text-to-speech, and AI podcast production.

Udemy Beginner

AI Writing Workshop: Content That Connects

Use AI to write compelling blog posts, emails, social media content, and marketing copy while maintaining your unique voice.

freeCodeCamp Beginner

Python for Machine Learning

Learn Python fundamentals and essential ML libraries including NumPy, Pandas, Scikit-learn, and Matplotlib.

Coursera Intermediate

TensorFlow Developer Professional Certificate

Master TensorFlow for deep learning, covering CNNs, NLP, time series, and deployment, with official Google certification.

Google Intermediate

Data Preprocessing & Feature Engineering

Learn essential data preprocessing techniques including cleaning, transformation, feature engineering, and handling imbalanced data.

Coursera Advanced

Model Deployment: From Notebook to Production

Deploy ML models to production using FastAPI, Docker, Kubernetes, and cloud platforms with monitoring and CI/CD.