- Course overview
- Course details
- Prerequisites
Course overview
About this course
Develop the skills to design, implement, and optimize advanced AI systems for real-world applications. Learn how to create scalable AI solutions for industries like technology, finance, and healthcare. This certification ensures you’re equipped to solve challenges in AI architecture, neural networks, and NLP.
Audience profile
- AI & Software Engineers
- Machine Learning Enthusiasts
- Data Scientists
- IT Specialists & System Architects
- Students & New Graduates
Course details
Course Introduction
Module 1: Foundations of Artificial Intelligence
Module 2: Introduction to AI Architecture
Module 3: Fundamentals of Neural Networks
Module 4: Applications of Neural Networks
Module 5: Significance of Large Language Models (LLM)
Module 6: Application of Generative AI
Module 7: Natural Language Processing
Module 8: Transfer Learning with Hugging Face
Module 9: Crafting Sophisticated GUIs for AI Solutions
Module 10: AI Communication and Deployment Pipeline
Optional Module: AI Agents for Engineering
Prerequisites
- AI+ Data™ or AI+ Developer™ course should be completed.
- Basic understanding of Python programming is mandatory for hands-on exercises and project work.
- Familiarity with high school-level algebra and basic statistics is required.
- Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.
Enquiry
Course : AI+ Engineer
Enquiry
request for : AI+ Engineer
