AI+ Developer (AITD)

AI+ Developer™ certification program offers a tailored journey in key AI domains for developers. Master Python, advanced concepts, math, stats, optimization, and deep learning. The curriculum covers data processing, exploratory analysis, and allows specialization in NLP, computer vision, or reinforcement learning. The program includes time series analysis, model explainability, and deployment intricacies. Upon completion, you'll receive a certification, showcasing your AI proficiency for real-world challenges.

This certification program provides a thorough exploration of artificial intelligence's core domains, tailored specifically for developers. It covers everything from fundamental Python mastery to advanced topics, including mathematics, statistics, optimization techniques, and deep learning. Participants delve into data pre-processing, exploratory data analysis, feature engineering, selection, and dimensionality reduction. They can specialize in NLP, computer vision, or reinforcement learning. The program also includes time series analysis, model explainability, and model deployment intricacies. Upon completion, participants receive certification, affirming their expertise in pivotal AI areas, priming them for real-world challenges and innovations.

Prerequisites

  • Basic Math: Familiarity with high school-level algebra and basic statistics is desirable.
  • Computer Science Fundamentals: Understanding the basic programming concepts (variables, functions, and loops) and data structures (lists and dictionaries).
  • Fundamental knowledge of programming skills.

Exams

  • Number of Questions: 50
  • Passing Score: 35/50 or 70%
  • Duration: 90 Minutes
  • Format: Online via AI Proctoring platform
  • Question Type: Multiple Choice/Multiple Response

Exam Overview:

  • Foundations of Artificial Intelligence - 3%
  • Mathematical Concepts for AI - 5%
  • Python for Developer - 10%
  • Mastering Machine Learning - 15%
  • Deep Learning - 10%
  • Computer Vision - 10%
  • Natural Language Processing - 15%
  • Reinforcement Learning - 5%
  • Cloud Computing in AI Development - 10%
  • Large Language Models - 5%
  • Cutting-Edge AI Research - 5%
  • AI Communication and Documentation - 5%