The AI Engineer Course 2026: Complete AI Engineer Bootcamp
Description
Curriculum
- 10 Sections
- 45 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Intro to AI Module: Getting started6
- Intro to AI Module: Data is essential for building AI4
- Intro to AI Module: Key AI techniques3
- Intro to AI Module: Important AI branches4
- Intro to AI Module: Understanding Generative AI10
- 5.1The rise of Gen AI: Introducing ChatGPT
- 5.2Early approaches to Natural Language Processing (NLP)
- 5.3Recent NLP advancements
- 5.4From Language Models to Large Language Models (LLMs)
- 5.5The efficiency of LLM training. Supervised vs Semi-supervised learning
- 5.6From N-Grams to RNNs to Transformers: The Evolution of NLP
- 5.7Phases in building LLMs
- 5.8Prompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization
- 5.9The importance of foundation models
- 5.10Buy vs Make: foundation models vs private models
- Intro to AI Module: Practical challenges in Generative AI4
- Intro to AI Module: The AI tech stack7
- Intro to AI Module: AI job positions3
- Intro to AI Module: Looking ahead2
- Python Module: Why Python?2
Instructor
0 Students9 Courses
Reviews
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