32 Hrs
4211+ Enrollments
Designing Edge to AI Applications on Hybrid Data Cloud
The Designing Edge to AI Applications on Hybrid Data Cloud course is designed to help professionals learn how to design and implement AI-driven applications on hybrid data cloud. This course covers a wide range of topics, including data management, machine learning, deep learning, and neural networks. The course is taught by industry experts and includes hands-on exercises and projects to give students practical experience.
Designing Edge to AI Applications on Hybrid Data Cloud
Overview of Course
The Designing Edge to AI Applications on Hybrid Data Cloud course is designed to help professionals learn the skills and techniques required to design and implement AI-driven applications on hybrid data cloud. This course is ideal for individuals who want to learn about designing AI-driven applications in a hybrid cloud environment.
Course Highlights
Learn how to design and implement AI-driven applications on hybrid data cloud
Covers a wide range of topics including data management, machine learning, deep learning, and neural networks
Taught by industry experts
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Understanding of hybrid data cloud
Designing AI-driven applications
Data management
Machine learning
Deep learning
Neural networks
Cloud computing
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Hybrid Data Cloud Overview
- Hybrid Data Cloud Architecture
- AI-driven Applications Overview
- AI-driven Applications Architecture
- Data Management Overview
- Data Management Architecture
- Machine Learning Overview
- Machine Learning Architecture
- Deep Learning Overview
- Deep Learning Architecture
- Neural Networks Overview
- Neural Networks Architecture
- Cloud Computing Overview
- Cloud Computing Architecture
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Software developers
- Data scientists
- System architects
- Technical managers
- IT professionals
Prerequisite:
- Basic understanding of machine learning concepts
- Familiarity with cloud computing
- Knowledge of programming languages such as Python and Java
Benefits of the course:
- Learn how to design and implement AI-driven applications on hybrid data cloud
- Gain practical experience through hands-on exercises and projects
- Taught by industry experts
- Increase your career prospects in the field of AI and cloud computing
Exam details to pass the course:
- There is no exam to pass this course. Students must complete all the modules and assignments to receive a certificate of completion.
Certification path:
- There are no additional certifications required to complete this course. However, individuals can pursue relevant certifications such as AWS Certified Machine Learning - Specialty or Google Cloud Certified - Professional Data Engineer to enhance their credentials.
Career options after doing the course:
- AI Engineer
- Cloud Engineer
- Data Scientist
- Machine Learning Engineer
- Technical Manager
Why should you take this course from Skillzcafe:
Taught by industry experts- Hands-on exercises and projects for practical experience
- Lifetime access to course materials
- Flexible learning options
FAQs
Hybrid data cloud refers to the combination of private and public cloud environments to store and process data.
This course covers programming languages such as Python and Java.
Yes, students should have a basic understanding of machine learning concepts and familiarity with cloud computing.
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