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 an AI development certification, showcasing your AI proficiency for real-world challenges.

Certification Duration: 40 hours (5 Days)

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.

Exam Details

• Modules – 12
• Examination – 1
• 50 MCQs - 90 Minutes
• Passing Score – 70%

Certification Modules

• Module 1: Foundations of Artificial Intelligence.
• Module 2: Mathematical Concepts for AI.
• Module 3: Python for Developer.
• Module 4: Mastering Machine Learning.
• Module 5: Deep Learning.
• Module 6: Computer Vision.
• Module 7: Natural Language Processing.
• Module 8: Reinforcement Learning.
• Module 9: Cloud Computing in AI Development.
• Module 10: Large Language Models.
• Module 11: Cutting-Edge AI Research.
• Module 12: AI Communication and Documentation.

Tools

• GitHub Copilot
• Lobe
• H2O.ai
• Snorkel

Exam Objectives:

• Python Programming Proficiency

Students will gain a solid foundation in Python programming, a crucial skill for implementing AI algorithms, processing data, and building AI applications effectively.

• Deep Learning Techniques

Learners will master machine learning and deep learning techniques to address challenges in classification, regression, image recognition, and natural language processing.

• Cloud Computing in AI Development

Students will get hands-on experience in cloud-based AI application development and learn how to use AWS, Azure, and Google Cloud for scalable AI systems.

• Project Management in AI

Participations will master the skills necessary to manage AI projects effectively, from initiation to completion, including planning, resource allocation, risk management, and stakeholder communication.