About brooklyniot.org
Our Mission
Course Offering
Course Offering
BIOT is dedicated to providing an exceptional learning experience in the field of Artificial Intelligence. Our mission is to empower learners with the knowledge, skills, and practical expertise required to succeed in the rapidly evolving world of AI. We focus on teaching AI bootcamps led by industry experts, ensuring that our students are
BIOT is dedicated to providing an exceptional learning experience in the field of Artificial Intelligence. Our mission is to empower learners with the knowledge, skills, and practical expertise required to succeed in the rapidly evolving world of AI. We focus on teaching AI bootcamps led by industry experts, ensuring that our students are well-prepared for the challenges and opportunities in the AI landscape.
Course Offering
Course Offering
Course Offering
BIOT will offer in-depth and comprehensive AI bootcamps focusing on various aspects of AI adoption. The bootcamps will cover:
- Foundations of AI and Machine Learning.
- AI Product Design and Development.
- Advanced Data Science and Analytics.
- AI Deployment and Ethics.
Value
Course Offering
Value
BIOT's strategy for its AI bootcamps revolves around expert instruction, practical learning approaches, and a commitment to student success. By catering to the unique needs of its target audience and staying aligned with industry trends, BIOT aims to be a premier destination for individuals aspiring to excel in the field of Artificial Intelligence.
AI Bootcamp Series:
Foundations of AI and Machine Learning
Foundations of AI and Machine Learning
Foundations of AI and Machine Learning
- Overview: This course introduces the fundamental concepts of AI and machine learning, including basic algorithms, data structures, and programming skills needed for AI development.
- Topics Covered:
- Introduction to AI and Machine Learning
- Python for AI
- Basic Algorithms and Data Structures
- Linear Algebra and Probability for Machine Learning
- Introd
- Overview: This course introduces the fundamental concepts of AI and machine learning, including basic algorithms, data structures, and programming skills needed for AI development.
- Topics Covered:
- Introduction to AI and Machine Learning
- Python for AI
- Basic Algorithms and Data Structures
- Linear Algebra and Probability for Machine Learning
- Introduction to Neural Networks
- Format: Full-Time / Part-Time options available
AI Product Design and Development
Foundations of AI and Machine Learning
Foundations of AI and Machine Learning
- Overview: Focuses on designing AI products and services, this course covers the lifecycle of AI product development from ideation to deployment.
- Topics Covered:
- AI Product Ideation and Market Research
- Design Thinking for AI Products
- Prototyping AI Solutions
- Building and Testing AI Models
- User Experience (UX) in AI Products
- Format: Full-Time / Part-Time options available
Advanced Data Science and Analytics
Foundations of AI and Machine Learning
Advanced Data Science and Analytics
- Overview: This course delves deeper into data science and analytics, providing advanced knowledge and skills for handling big data, performing complex analyses, and leveraging data for AI solutions.
- Topics Covered:
- Advanced Statistical Methods
- Big Data Technologies (Hadoop, Spark)
- Data Wrangling and Cleaning Techniques
- Advanced Machine Learnin
- Overview: This course delves deeper into data science and analytics, providing advanced knowledge and skills for handling big data, performing complex analyses, and leveraging data for AI solutions.
- Topics Covered:
- Advanced Statistical Methods
- Big Data Technologies (Hadoop, Spark)
- Data Wrangling and Cleaning Techniques
- Advanced Machine Learning Algorithms
- Data Visualization and Interpretation
- Format: Full-Time / Part-Time options available
AI Deployment and Ethics
Foundations of AI and Machine Learning
Advanced Data Science and Analytics
- Overview: Covers the final stages of AI adoption, focusing on deploying AI models, managing AI systems, and understanding the ethical implications of AI.
- Topics Covered:
- Model Deployment and Monitoring
- Cloud Platforms for AI Deployment (AWS, Azure, Google Cloud)
- AI System Maintenance and Scaling
- Ethical Considerations in AI
- Regulatory Complianc
- Overview: Covers the final stages of AI adoption, focusing on deploying AI models, managing AI systems, and understanding the ethical implications of AI.
- Topics Covered:
- Model Deployment and Monitoring
- Cloud Platforms for AI Deployment (AWS, Azure, Google Cloud)
- AI System Maintenance and Scaling
- Ethical Considerations in AI
- Regulatory Compliance and Data Privacy
- Format: Full-Time / Part-Time options available
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FLEXIBLE OFFERINGS DESIGNED TO GET YOU HIRED
These bootcamps are designed to equip you with the necessary skills and knowledge to excel in the rapidly evolving field of AI. Whether you choose to attend full-time or part-time, the comprehensive curriculum ensures that you are well-prepared for the job market. Each bootcamp includes hands-on projects, real-world case studies, and mentorship from industry professionals to help you build a robust portfolio and gain practical experience.
Key Features:
- Hands-on Learning: Practical projects and real-world case studies.
- Expert Instructors: Learn from industry professionals and AI experts.
- Career Support: Resume reviews, interview preparation, and job placement assistance.
- Flexible Scheduling: Full-Time and Part-Time options to fit your lifestyle.
These bootcamps will provide a solid foundation and advanced skills in AI, ensuring participants are well-equipped to design, build, and deploy AI products and services in a professional setting.
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