Course Overview
- Course Title: Python for Generative AI – Practice Certification
- Instructor: Sylvester Joseph
- Target Audience:
- Python developers
- AI enthusiasts
- Students preparing for AI certifications
- Prerequisites: None
Curriculum Highlights
- Key Topics Covered:
- Python programming
- AI model integration
- Prompt engineering
- Large Language Models (LLMs)
- Hugging Face Transformers
- LangChain
- Image generation frameworks like Stable Diffusion
- Real-world AI applications
- AI developer interviews
- Certification exams
- Hands-on projects
- Key Skills Learned:
- Efficient interaction with AI libraries
- Managing data workflows
- Developing advanced AI solutions
- Creating AI-driven applications
- Generative AI development
Course Format
- Duration:
- 4 practice tests
- 50 practice questions
- Format: Self-paced online course
- Resources:
- Access on mobile
- Multiple-choice and multi-choice questions