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Course overview
What will i learn?
- Machine Learning Engineer: Designing, developing, and implementing machine learning models and algorithms for solving complex problems.
- Data Scientist: Analyzing and interpreting large datasets to extract valuable insights, developing predictive models, and implementing AI solutions.
- AI Researcher: Conducting research to advance AI technologies, developing new algorithms, and pushing the boundaries of AI capabilities.
- Natural Language Processing (NLP) Engineer: Building systems that understand and generate human language, such as chatbots, language translators, and sentiment analysis tools
- Computer Vision Engineer: Developing algorithms and systems for image and video processing, object recognition, and autonomous navigation.
- AI Ethics Consultant: Addressing ethical considerations and ensuring responsible and fair use of AI technologies in organizations.
- AI Consultant: Providing strategic guidance to businesses on how to leverage AI technologies to improve processes, enhance customer experiences, and drive innovation.
- AI Product Manager: Leading the development and launch of AI-powered products and services, bridging the gap between business requirements and technical implementation.
- AI Specialist in Healthcare: Applying AI techniques to analyze medical data, assist in diagnosis, develop personalized treatment plans, and advance healthcare research.
- AI in Finance: Using AI for fraud detection, risk assessment, algorithmic trading, and portfolio optimization in the financial sector.
Requirements
- Laptop/Desktop is required.
- Learning attitudes, to learn and grow your skill.
Curriculum for this course
9 Lessons
05:48:27 Hours
Introduction to Cloud Computing
4 Lessons
02:50:32 Hours
-
Introduction to Cloud Computing
00:49:58
-
Introduction to AWS - History, Applications
00:42:00
-
Services of AWS
01:03:12
-
AWS Infrastructure - Availability Zone & Regions
00:15:22
Identity and Access Management in AWS
1 Lessons
00:41:15 Hours
-
What is IAM
00:41:15
Understanding Amazon EC2
1 Lessons
01:01:11 Hours
-
Introduction to Amazon EC2 & its Utility
01:01:11
Load Balancing, Auto Scaling, and Routing using AWS
2 Lessons
00:41:46 Hours
-
Load Balancing in AWS - Types of Load Balancers
00:29:33
-
Auto Scaling in AWS
00:12:13
AWS Database Services
1 Lessons
00:33:43 Hours
-
AWS Database
00:33:43
Frequently asked question
What are the roles and responsibilities of a cloud architect?
A cloud architect is a senior-level designation that requires relevant experience working in the cloud space and an understanding of various cloud concepts. As a cloud architect, you will promote organisational alignment across the enterprise to guarantee successful cloud migration, governance, monitoring, and risk management. Our Cloud computing certification course can impart the right skills to handle all these responsibilities effectively.
What are the various roles and responsibilities of a cloud computing professional?
A cloud computing professional has multiple roles and responsibilities. They design and implement cloud infrastructure, manage cloud environments, implement security measures, and provide technical support. Their tasks include planning and creating cloud systems, monitoring performance, ensuring data security, and resolving technical issues to ensure efficient and secure cloud operations.
Why choose cloud computing courses from Talent Spiral
You can master the major platforms, such as AWS, Azure, Google Cloud, and DevOps, through live projects and a comprehensive curriculum.
You can interact and learn from industry experts in real time.
A timely and active support system allows you to get any questions answered at any time.
Why choose cloud computing courses from Talent Spiral?
High-demand skill:
Cloud computing certification course is in high demand across industries, making it a valuable skill to possess. By learning cloud computing, you enhance your career prospects and increase your marketability in the job market.
Scalability and flexibility:
Cloud computing enables organizations to scale their resources up or down based on their needs. By understanding cloud computing, you can help businesses leverage the scalability and flexibility of the cloud to optimize their operations and reduce costs.
Cost-efficiency:
Cloud computing eliminates the need for physical infrastructure and allows for pay-as-you-go pricing models. Learning cloud computing courses can help organizations reduce hardware and maintenance costs while improving efficiency and resource utilization.
Innovation and agility:
Cloud computing enables rapid deployment of applications, faster time-to-market, and promotes innovation. By acquiring cloud computing skills, you can assist organizations in adopting new technologies, implementing DevOps practices, and staying ahead in a competitive landscape.
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