ACERT76-046_rev3.0: AI+ Engineer, Self-Paced Learning V3 (Development)

Duration: Self-Paced, 40 hours of content

The AI+ Engineer certification is specifically designed for Software Engineers, providing a structured introduction to Artificial Intelligence (AI) fundamentals, advanced techniques, and practical applications. Learners will start with AI Foundations and then explore AI Architecture, Neural Networks, LLMs, Generative AI, Natural Language Processing (NLP), and Transfer Learning using Hugging Face. You will also learn to design advanced Graphical User Interfaces (GUIs) for AI solutions and understand AI communication and deployment pipelines through hands-on learning. Ethics in AI are also discussed to ensure learners comprehend justice, transparency, and accountability in AI systems.

Practical exercises and real-world case studies help you analyze and reduce biases, improving AI application ethics. Furthermore, in this certification, you will grasp AI principles and techniques well enough to solve real-world problems and contribute to the ever-changing field. This holistic strategy equips engineers to lead and innovate in the fast-changing AI field. We will cover the following topics to help you understand the incorporation of AI in the Engineering domain.

• Foundations of AI
• Introduction to AI Architecture
• Fundamentals of Neural Networks
• Applications of Neural Networks
• Significance of Large Language Models (LLM)
• Application of Generative AI
• Natural Language Processing
• Transfer Learning with Hugging Face
• Crafting Sophisticated GUIs for AI Solutions
• AI Communication and Deployment Pipeline

Please use the links below to download additional information about this course:

Executive Summary: ai-engineer-executive-summary.pdf

Course Outline: ai-engineer-course-outline.pdf

Exam Blueprint: ai-engineer-blueprint.pdf