Advanced Data Annotation
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Labeling for Machine Learning and AI
Labeling data with additional information that makes it more meaningful and valuable for machine learning algorithms.
Key Focus Areas of the Advanced Data Annotation
- Data annotation and AI Intro.
- Human & Technical Skills for Data Annotation
- Lidar Annotation
- Video Annotation
- 3D Cuboid Annotations
Enjoy the freedom of flexible work options in an ever-expanding industry.
As a skilled data annotator, you’ll have the flexibility to work remotely or on-site, allowing you to tailor your work environment to suit your lifestyle preferences.
What you need to know
- We leverage the power of technology to train and upskill people from marginalized communities – with a particular focus on people living with disabilities, and young women, to equip and empower them to participate in the new digital economy fully.
- To enhance the upskilling, we are conducting Data Annotation training to equip people with disabilities, young women, and youth from underserved communities with skills that will help them meet the soaring demands of AI and machine learning.
Important Considerations
- Students must have access to their own laptop/computer as no devices will be provided.
- Data bundles, transport, and meal stipends will NOT be provided during the learning period.
- Next Step Foundation will support students with job linkages; however, the onus is on the student to secure job placements.
Program Costs & Funding Options
Students can choose between the following payment options:
- Self-Pay
- Repayable Chancen Funded
Curriculum
A comprehensive guide on Data Annotation
During the first Week, you will gain foundational understanding of AWS Cloud
concepts, services, and terminology.
- Understand benefits of using AWS services and their respective use cases.
- Gain some best practices to manage access to AWS accounts and resources using IAM.
- Understanding IP addressing and how to define IP ranges using CIDR blocks to make sure that your network has enough IP addresses to support your workloads.
- Identify AWS Services that are used to create Compute capacity.
- Understanding what to consider when looking at Block, File and Object storage.
- Managing your Relational Database more efficiently with Amazon RDS and Amazon Aurora.
- Use tools like CloudWatch metrics, CloudWatch logs, CloudTrail and VPC Flow Logs to monitor and log activities in AWS account.
- We aim at saving time and gaining consistency of the infrastructure we build through automation.
- Prepare for final exam based on skills you have learn.
- Practical understanding on Data annotation
