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AI+ Engineer

AI+ Engineer™ (AT-330)

Innovate Engineering with AI-Driven Smart Solutions


The AI+ Engineer™ certification equips professionals with the knowledge and practical skills required to design, build, and deploy advanced artificial intelligence systems. Participants will learn how to develop scalable AI solutions using modern technologies such as neural networks, large language models (LLMs), and natural language processing (NLP).

Through hands-on labs, real-world projects, and deployment practices, this program prepares learners to engineer AI systems that drive innovation across industries including technology, finance, healthcare, and digital services.

Why This Certification Matters


  • Master AI System Design – Learn how to design, implement, and optimize advanced AI architectures.
  • Build Scalable AI Solutions – Develop AI systems that can scale across enterprise environments. 
  • Solve Complex Engineering Challenges – Gain practical knowledge in neural networks, NLP, and generative AI. 
  • Drive AI-Powered Innovation – Build intelligent systems that enhance business operations and automation.
  • Advance Your AI Career – Strengthen your profile with an industry-recognized AI engineering certification.

Program Overview


  •  Program Name: AI+ Engineer™
  • Certification Code: AT-330
  • Mode: Instructor-led or Self-paced
  • Duration: 5 Days (Instructor-led) or 40 Hours (Self-paced)
  • Assessment: Online Proctored Exam
  • Exam Format: 50 Questions (MCQ / Multiple Response)
  • Passing Score: 70%
  • Exam Duration: 90 Minutes
  • Outcome: Industry-recognized certification + Digital badge 

Skills You Will Gain


  • AI Architecture 
  • Neural Networks
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Generative AI Applications
  • Transfer Learning with Hugging Face
  • AI Deployment Pipelines
  • AI System Integration

Course Modules


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

Optional Module: AI Agents for Engineering

Tools Covered


  • TensorFlow
  • Hugging Face Transformers
  • TensorFlow Hub
  • Jenkins

Prerequisites


To successfully participate in this program, learners should have:

  • Completion of AI+ Data™ or AI+ Developer™ certification
  • Basic knowledge of Python programming
  • Familiarity with high school algebra and basic statistics
  • Understanding of basic programming concepts such as variables, functions, loops, lists, and dictionaries

Who Should Enroll

AI System Integrator

AI System Integrator

AI System Integrator

Implement AI technologies into existing infrastructures, ensuring seamless integration and scalability of AI solutions

AI Project Manager

AI System Integrator

AI System Integrator

Lead AI-driven projects, managing timelines, resources, and stakeholder expectations to ensure successful deployment of AI solutions

AI Engineer

AI System Integrator

AI Solutions Architect

Design, develop, and optimize AI systems, working on neural networks, deep learning, and NLP to solve complex challenges

AI Solutions Architect

Machine Leaning Engineer

AI Solutions Architect

Create scalable AI architectures and integrate AI solutions into various business systems to drive innovation and efficiency

Machine Leaning Engineer

Machine Leaning Engineer

Machine Leaning Engineer

Develop machine learning models and algorithms, focusing on predictive analytics, deep learning, and data-driven solutions

Industry Outlook


Artificial intelligence is rapidly transforming industries worldwide. According to industry research, 80% of engineering professionals will need to upskill by 2027 due to generative AI technologies. Organizations are increasingly seeking skilled AI engineers to design intelligent systems, automate operations, and develop next-generation digital solutions.

Certification Outcome


Upon successful completion, participants will receive:

  • AI+ Engineer™ Certification
  • Official Digital Badge
  • Practical experience in AI system development and deployment

Get AI+ Engineer Certified

Contact us to learn more

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