Python for Generative AI – Practice Certification

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