AI TOOL PROFILE
DataExpert.io Academy: Data Engineering and AI Training
- Education and Training
- Learning Management System
- Working data platform engineers
- Analytics engineers
- Software engineers moving into AI
- Professional services firms
Pricing
An All-Access Subscription is available for $97/month or $250/year. The AI Engineering Boot Camp is available for a one-time payment of $3,000.
At a glance
- Best for
- Working data platform engineers, Analytics engineers, Software engineers moving into AI, Professional services firms
- Key use cases
- Upskilling Data Engineers for AI, Learning Analytics Engineering, Professional Portfolio Development, Studying Real Time Data Pipelines
- Integrations
- Databricks, AWS, Snowflake, Astronomer, OpenAI
- Official website
- Visit DataExpert.io Academy official website
How AI is used
DataExpert.io Academy is an online learning platform designed for data platform and analytics engineers. It provides a mix of self-paced content and live bootcamps focused on data engineering and AI application development.
The platform focuses on applying engineering standards to professional roles. It covers technical topics such as prompt engineering, retrieval-augmented generation (RAG), and the use of Large Language Models (LLMs).
Learners can access content through an all-access subscription or specialized cohorts. The platform provides access to cloud environments for hands-on exercises.
Buyers should confirm if they meet the prerequisites, as the curriculum requires proficiency in Python and SQL, and a basic understanding of Docker, Flink, and Kafka.
Key Features
Content Library
Over 250 hours of material covering data engineering, analytics engineering, and AI engineering.
Cloud Environment Access
Provides students with access to Databricks, AWS, Snowflake, Astronomer, OpenAI, and Anthropic for labs.
Live Evening Classes
Instruction held from 6-8 PM Pacific time, with recordings available within 8 hours.
AI Engineering Modules
Training on prompt engineering, RAG, LLMs, and building AI applications.
Capstone Projects
Practical projects designed to apply skills in data and AI engineering.
Guest Speaker Sessions
Weekly sessions featuring industry experts.
Use Cases
Upskilling Data Engineers for AI
Supports working engineers in learning to build functional AI agents and integrate RAG into applications.
Learning Analytics Engineering
Using dbt and Snowflake to build and optimize analytical patterns and data pipelines.
Professional Portfolio Development
Completing capstone projects and labs to demonstrate technical proficiency.
Studying Real Time Data Pipelines
Instruction on the implementation of Spark and Kafka streaming for real time data processing.
Integrations
- Databricks
- AWS
- Snowflake
- Astronomer
- OpenAI
- Anthropic
- GitHub
- Discord
FAQ
When are the live classes held?
- Live classes take place from 6-8 PM Pacific time. Recordings are available within 8 hours of the session.
What are the prerequisites for the courses?
- Students generally need proficiency in Python and SQL, along with a basic understanding of Docker, Flink, and Kafka.
What is the refund policy for bootcamps?
- Live bootcamps have a 25% fee for refunds within 7 days and a 50% fee within 14 days; no refunds are provided after 14 days.
Do students get access to cloud tools?
- Students receive cloud access to platforms including Databricks, AWS, Snowflake, and OpenAI for their exercises.
Source category: Education & Training
Source subcategory: Learning Management System
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