Empowering A Leading Multi-National Corporation’s Engineering Team For Future-ready Data Capabilities
The Business Objective
The client aimed to empower data engineers by upskilling them in data warehouse capabilities and the latest tools, enabling them to build effective data solutions and stay updated in the evolving organizational landscape. Their objectives were to:
- Upskill developers to leverage the latest tools and prevent adverse business repercussions from outdated solutions
- Upskill developers to leverage the latest tools and prevent adverse business repercussions from outdated solutions
- Upskill developers to leverage the latest tools and prevent adverse business repercussions from outdated solutions
How AntWalk Helped
42 Hours Of Live Cohort Classes
Contextualised Curriculum On Azure Synapse & Azure ML Studio
4+ Handpicked Azure Experts From Leading Brands
8 Real-Time Industry-Specific Use Cases
The client collaborated with AntWalk to revolutionize their employees’ capabilities through the customized “Custom Amplify” solution.
Antwalk’s Azure Data Engineering and Machine Learning AMPLIFY Program ensured a personalized learning journey by:
- Designing a secure and modern data warehouse with azure synapse analytics for efficient data retrieval through azure SQL and impactful power BI reports
- Deploying azure analysis cubes to utilize multidimensional models for data manipulation and gain valuable business insights through cube analytics
- Implementing fundamentals of ML and AI to real-world scenarios like property prices, health, animal classification, and marketing activities.
- Preparing data and training ML models in azure machine learning studio and workbench
- Implementing natural language processing (NLP) and incorporating conversational AI workloads on azure fundamentals
94%
Of the learners would recommend the program
91%
Of learner’s praise content coverage
91%
Attendance and unmatched engagement
Impact
The Azure Data Engineering and Machine Learning AMPLIFY Program left a lasting impact, with learners achieving remarkable outcomes:
- Mastered the implementation of machine learning models in real-world scenarios
- Demonstrated prowess in effective data retrieval using azure SQL and power BI to create insightful reports
- Seamlessly executed natural language processing (NLP) workloads on azure
- Learners were empowered with the ability to select the optimal machine learning models tailored to their specific needs
We understood Azure synapse and how to use the dedicated pool and use dimension tables for creating the model. And how to connect Visual Studio and Power BI.
~ Learner, AntWalk Azure Data Engineering and Machine Learning Program
