Courses / AI/ML
BeginnerAI/MLFree
Ai Engineering Core
Learn the core concepts of AI engineering and build intelligent applications with modern AI tools.
- 4.7 (3 reviews)
- 612 students
- 11 hours
- 48 chapters · 7 sections
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What you'll learn
- Understand Generative AI, LLMs, Transformers, and Prompt Engineering
- Work with models like ChatGPT, Claude, Gemini, DeepSeek, and Ollama
- Build AI applications using Hugging Face, LangChain, and LLM APIs
- Build RAG systems using embeddings and vector databases
- Learn fine-tuning and QLoRA to customize LLMs
- Build AI agents and Agentic AI systems with tools, memory, and orchestration
- Create multimodal AI applications with text, image, and audio
- Build practical real-world AI engineering projects
About this course
Curriculum
7 sections · 48 chapters · 11 hBefore you start
- Basic knowledge of Python programming
- Familiarity with fundamental programming concepts
- A computer with an internet connection
- No advanced mathematics or prior AI/ML experience is required
- Basic familiarity with APIs and Git is helpful, but not mandatory
Learner reviews
4.73 reviews
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“Been learning this for a few days now. Clean design and the notes are to the point”
AI
“Good content overall. Wish there were a couple more examples, but solid.”
RM
“Really easy to follow along. The visuals made complex topics click for me instantly.”
PS