Resumen del Curso
The AI+ Engineer certification program offers a structured journey through the foundational principles, advanced techniques, and practical applications of Artificial Intelligence (AI). Beginning with the Foundations of AI, participants progress through modules covering AI Architecture, Neural Networks, Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Transfer Learning using Hugging Face. With a focus on hands-on learning, students develop proficiency in crafting sophisticated Graphical User Interfaces (GUIs) tailored for AI solutions and gain insight into AI communication and deployment pipelines. Upon completion, graduates are equipped with a robust understanding of AI concepts and techniques, ready to tackle real-world challenges and contribute effectively to the ever-evolving field of Artificial Intelligence.
Prerrequisitos
- AI+ Data or AI Developer course should be completed.
- Basic understanding of Python Programming: Proficiency in Python is mandatory for hands-on exercises and project work.
- Basic Math: Familiarity with high school-level algebra and basic statistics.
- Computer Science Fundamentals: Understanding basic programming concepts (variables, functions, loops) and data structures (lists, dictionaries).
Objetivos del curso
- GUI Develop for AI Solutions
- Students will learn to develop user-friendly AI GUIs. Interface design, usability testing, and AI integration into GUIs will be covered to build intuitive and engaging user experiences.
- AI Communication and Deployment Pipeline
- Learners will get to learn about AI solution communication and deployment. This includes developing and managing deployment pipelines for fast AI system deployment and maintenance and explain AI solutions' value and usefulness to stakeholders and end-users.
- AI Problem-solving
- Students will apply AI principles from the course to real-world issues to improve their skills to discover AI methodologies, construct models, and interpret results to tackle challenging problems across disciplines.
- AI-specific Project Management
- Learners will build AI-specific project management abilities by engaging with AI project workflows. This involves developing, implementing, and managing AI initiatives, managing resources, schedules, and stakeholder expectations for success.