IBM AI Engineering Professional Certificate
The IBM AI Engineering Professional Certificate is a structured program …
What you'll learn
Upon completing the IBM AI Engineering Professional Certificate, participants will be able to:
Apply core machine learning algorithms to real-world data using Python.
Design, build, and deploy deep learning models with Keras, PyTorch, and TensorFlow.
Utilize computer vision techniques for image analysis and processing.
Successfully execute a capstone project that demonstrates their comprehensive AI skills.
Build a portfolio of AI projects that validate their readiness for roles in AI engineering.
AWS Certified AI Practitioner
The AWS Certified AI Practitioner course is tailored for individuals …
What you'll learn
Upon completion of the course, students will be able to:
Confidently design and implement AI solutions using AWS services.
Leverage AWS tools to build, deploy, and maintain machine learning models in production.
Navigate the AWS Certified AI Practitioner exam with a clear understanding of its structure and requirements.
Apply best practices for security, performance, and scalability in AI applications on AWS.
Microsoft Certified: Azure AI Engineer Associate
Course Overview The Microsoft Certified: Azure AI Engineer Associate course …
What you'll learn
Upon completion of the course, students will be able to:
Confidently design and implement AI solutions that align with business needs.
Leverage Azure AI services to integrate advanced machine learning models into production environments.
Prepare for and pass the AI-102 exam, earning the Microsoft Certified: Azure AI Engineer Associate credential.
Apply best practices in security, compliance, and maintenance of AI solutions.
Data Science , ML, AI with Python ( End-to-End Live Training)
The Data Science , ML, AI with Python ( End-to-End …
AP Computer Science Principles Course
The AP Computer Science Principles course at Brilliant Academe provides …
What you'll learn
Foundational Computing Concepts: Gain a deep understanding of the core principles that underpin modern computing.
Problem-Solving Skills: Learn how to approach complex problems systematically and develop logical solutions through algorithms.
Programming Proficiency: Develop basic programming skills using a block-based programming environment.
Data Analysis: Understand how to collect, analyze, and interpret data to draw meaningful conclusions.
App Development: Gain practical experience in designing and developing apps that solve real-world problems.
Ethical Awareness: Explore the ethical implications of computing technologies and their impact on society.
AP Computer Science A: Course and Exam Overview
Course Description: The AP Computer Science A course is designed …
What you'll learn
Quizzes: You'll participate in quizzes that assess your understanding of programming concepts, syntax, problem-solving skills, and algorithm development.
Coding Assignments: You’ll plan and write code for a variety of tasks, developing your ability to create efficient and effective solutions using Java.
Discussions/Presentations: Speaking and collaboration are vital in computer science. You’ll engage in both class-wide and small group discussions, sharing your thought processes and presenting your coding projects.
Projects: You’ll have the opportunity to explore your own ideas, apply your coding skills creatively, and collaborate with peers. You’ll demonstrate your understanding through various projects using industry-standard tools and technologies.
Python with Data Science, ML, AI
Anyone can learn but would be advantage if someone possess …
