| Category | AI Agent Developer, AI Development, AI System Engineer, AI Technical, All Courses, Available Now, Blockchain Developer, DevOps Engineer, English, Language, Machine Learning Scientist, Quality Assurance Engineer, Quantum Computing Specialist, Robotics Engineer, Software Developer, User Experience Engineer |
|---|---|
| Program Name | AI+ Developer™ |
| Duration | Instructor-Led:5 days (live or virtual) | Self-Paced:40 hours (5 Days) |
| 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. |
| Exam Format | 50 questions, 70% passing, 90 minutes, online proctored exam |
Students will gain a solid foundation in Python programming, a crucial skill for implementing AI algorithms, processing data, and building AI applications effectively.
Learners will master machine learning and deep learning techniques to address challenges in classification, regression, image recognition, and natural language processing.
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.
Participations will master the skills necessary to manage AI projects effectively, from initiation to completion, including planning, resource allocation, risk management, and stakeholder communication.
Design, implement, and optimize algorithms and models to enable systems to learn from data and make predictions or decisions.
Design and implement AI systems that integrate seamlessly with existing infrastructure to address business needs effectively and enhance system capabilities.
Build, design, and maintain AI-driven applications that solve real-world problems, integrating AI technologies for enhanced functionality.
Develop and maintain AI systems, including programming algorithms and software components that enable intelligent behavior in machines and applications.
Upon completion, you will receive an AI+ Developer™ certification, showcasing your proficiency in AI. You'll have the skills to tackle real-world AI challenges and implement advanced AI solutions in various domains.
While prior AI knowledge is not mandatory, a fundamental understanding of Python programming and basic math and statistics will help you grasp the advanced concepts covered in this course.
Yes, the course includes various hands-on projects and practical exercises to help you apply theoretical concepts to real-world scenarios, reinforcing your learning through practical experience.
You cannot choose a specialization in this course. However, you will be trained in areas such as Natural Language Processing (NLP), computer vision, and reinforcement learning.
Your progress will be evaluated through a combination of quizzes, hands-on exercises, and a final assessment. These evaluations are designed to test your understanding and application of the material.
70%
50 multiple-choice/multiple-response questions
