AI+ Developer
AI+ Developer course equips you with essential skills in Python programming, mathematics, and data science for AI development. Master Python basics and advanced concepts, including object-oriented programming and performance optimization. Dive into mathematics for machine learning with linear algebra, calculus, and probability. This course prepares you to excel in AI development, offering practical knowledge in AI+ Developer Training to build, test, and optimize AI models and applications.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Familiarity with high school-level algebra and basic statistics is desirable.
- Understanding the basic programming concepts (variables, functions, and loops) and data structures (lists and dictionaries).
- Fundamental knowledge of programming skills.
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- AI Engineer
- Software Developer
- Programmer
Course Objectives:
- Understand the essentials of AI and gain proficiency in Python for AI development.
- Learn the architectures of deep learning and neural networks and their applications.
- Explore various specialized AI applications across different industry sectors.
- Acquire knowledge about large language models, including GPT, and master the art of prompt engineering.
- Develop the skills to utilize AI tools, manage AI operations, and effectively deploy AI models in real-world scenarios.
Course Outline:
Foundations of Artificial Intelligence
- Introduction to AI
- Types of Artificial Intelligence
- Branches of Artificial Intelligence
- Applications and Business Use Cases
Mathematical Concepts for AI
- Linear Algebra
- Calculus
- Probability and Statistics
- Discrete Mathematics
Python for Developer
- Python Fundamentals
- Python Libraries
Mastering Machine Learning
- Introduction to Machine Learning
- Supervised Machine Learning Algorithms
- Unsupervised Machine Learning Algorithms
- Model Evaluation and Selection
Deep Learning
- Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)