AI+ Developer™
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Description
AT-310
40 hours (5 Days)
50 MCQs, 90 Minutes
70% (35/50)
About Certification
- Core AI Foundations: Covers Python, deep learning, data processing, and algorithm design
- Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning
- Advanced Modules: Includes time series, model explainability, and cloud deployment
- Industry-Ready Skills: Prepares learners to design and deploy complex AI systems
Prerequisites
- Basic math, including familiarity with high school-level algebra and basic statistics, is desirable.
- Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.
- A fundamental knowledge of programming skills is required.
What Will You Learn?
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.
Industry Opportunities
AI Machine Learning Developer: Design, implement, and optimize algorithms and models to enable systems to learn from data and make predictions or decisions.
AI Solutions Architect: Design and implement AI systems that integrate seamlessly with existing infrastructure to address business needs effectively and enhance system capabilities.
AI Application Developer: Build, design, and maintain AI-driven applications that solve real-world problems, integrating AI technologies for enhanced functionality.
AI System Programmers: Develop and maintain AI systems, including programming algorithms and software components that enable intelligent behavior in machines and applications.
At a Glance Overview
| Program Name | AI+ Developer™ |
|---|---|
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| Duration |
|
| Prerequisites | Basic math, computer science fundamentals, fundamental programming skills |
| Exam Format | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Delivery | Online labs, projects, case studies |
| Outcome | Industry-recognized credential + hands-on experience |
Exam Blueprint
| Module | Line Item | Percentage |
|---|---|---|
| Foundations of Artificial Intelligence (AI) | Foundations of Artificial Intelligence (AI) – 5% | 5% |
| Mathematical Concepts for AI | Mathematical Concepts for AI – 5% | 5% |
| Python for AI Development | Python for AI Development – 10% | 10% |
| Mastering Machine Learning | Mastering Machine Learning – 15% | 15% |
| Deep Learning | Deep Learning – 10% | 10% |
| Computer Vision | Computer Vision – 10% | 10% |
| Natural Language Processing (NLP) | Natural Language Processing (NLP) – 15% | 15% |
| Reinforcement Learning | Reinforcement Learning – 5% | 5% |
| Cloud Computing in AI Development | Cloud Computing in AI Development – 10% | 10% |
| Large Language Models (LLMs) | Large Language Models (LLMs) – 5% | 5% |
| Cutting-Edge AI Research | Cutting-Edge AI Research – 5% | 5% |
| AI Communication and Documentation | AI Communication and Documentation – 5% | 5% |
Salary Insights
| Median Salary | $77,311 |
|---|---|
| With AI Skills | $125,439 |
| Difference (%) | 62 |
| Role Based Course Hours | 40 Hours |
