AICERTS, Artificial Intelligence

AI+ Engineer™

Instructor

Falandile Ntshangase

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Course details

Lectures : 39

Description
FAQ
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Why This Certification Matters

Master AI System Design: Develop the skills to design, implement, and optimize advanced AI systems for real-world applications.

Build Scalable AI Solutions: Learn how to create scalable AI solutions for industries like technology, finance, and healthcare.

Tackle Complex Engineering Challenges: This certification ensures you’re equipped to solve challenges in AI architecture, neural networks, and NLP.

Contribute to AI-Driven Innovations: Certified AI+ Engineers develop cutting-edge AI solutions that enhance business operations and drive future innovations.

Advance Your Career in AI Engineering: As demand for skilled AI engineers rises, this certification offers a competitive advantage in the job market.

At a Glance: Course + Exam Overview

Program Name

AI+ Engineer™

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

AI+ Data™  or AI+ Developer™ course should be completed, basic math, computer science fundamentals, Python familiarity

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Delivery

Online labs, projects, case studies

Outcome

Industry-recognized credential + hands-on experience

Who Should Enroll?

AI & Software Engineers: Enhance your development skills by mastering AI techniques and designing advanced AI systems.
Machine Learning Enthusiasts: Apply deep learning, neural networks, and NLP techniques to real-world AI challenges.
Data Scientists: Strengthen your AI toolkit with engineering techniques for building and deploying scalable AI solutions.
IT Specialists & System Architects: Integrate AI solutions into existing infrastructures, optimizing performance and scalability.
Students & New Graduates: Develop in-demand AI engineering skills and prepare for a successful career in the rapidly growing AI field.

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.

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint:

Foundations of Artificial Intelligence – 5%
Introduction to AI Architecture – 10%
Fundamentals of Neural Networks – 15%
Applications of Neural Networks – 7%
Significance of Large Language Models (LLM) – 8%
Application of Generative AI – 8%
Natural Language Processing – 15%
Transfer Learning with Hugging Face – 15%
Crafting Sophisticated GUIs for AI Solutions – 10%
AI Communication and Deployment Pipeline – 7%

What topics are covered in the AI+ Engineer™ Certification?

The certification covers a wide range of topics including Foundations of AI, AI Architecture, Neural Networks, Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Transfer Learning using Hugging Face.

Who is the target audience for this certification?

This certification is ideal for individuals seeking to gain a deep understanding of AI concepts and techniques, whether they are beginners or have some prior knowledge of AI.

What practical skills will I gain from this course?

Participants will gain hands-on experience in building and deploying AI solutions. Skills include developing neural networks, fine-tuning large language models, implementing generative AI models, and crafting sophisticated GUIs for AI applications. Additionally, participants will learn to navigate AI communication and deployment pipelines.

What type of learning experience can I expect from this course?

The course emphasizes hands-on learning, enabling participants to develop practical skills in creating Graphical User Interfaces (GUIs) for AI solutions and understanding AI communication and deployment pipelines.

How does this certification benefit my career?

The AI+ Engineer™ Certification enhances your professional profile by demonstrating proficiency in AI fundamentals and advanced applications. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities in tech, healthcare, finance, and other industries.

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