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InfoQ Homepage News QCon San Francisco Learning Paths: Practical and Intensive AI/ML Two-Day Training

QCon San Francisco Learning Paths: Practical and Intensive AI/ML Two-Day Training

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To help develop your artificial intelligence (AI) and machine learning (ML) knowledge and skills, the team behind InfoQ and QCon Conferences has launched the AI and ML Learning Paths. These practical and intensive two-day focused sessions are designed to help you understand and use Machine Learning by writing and executing code. Held at the Hyatt Regency in San Francisco on November 14 and 15, the Learning Paths are co-located with the 13th edition of QCon San Francisco 2019.

The QCon promise "for practitioners by practitioners" applies to all Learning Paths. They are developed and delivered by software engineers who are driving innovation and change in AI and ML, and so you will learn from those actively working in this field.

Clarence Chio, CTO at Unit21.ai and author of "Machine Learning & Security", is facilitating the "Introduction to AI/ML for Software Engineers" Learning Path. This is a fast-paced learning path focusing on machine learning from a software professional's point of view. Here is what you will learn:

  • Gain the ability to evaluate problems and formulate ML solutions to relevant problems including machine learning algorithms
  • Get experience in implementing ML applications with the use of popular toolkits
  • Develop intuition around Machine Learning algorithm/technique selection given the problem scope and objectives
  • Understand the feature engineering techniques to solve common problems in data wrangling and system scaling
  • Gain the ability to implement end-to-end applications that utilize real-world data sets to generate actionable insights

At the end of the session, students have a chance to formulate, design, and implement a real Machine Learning system, from data collection to deployment.

The second Learning Path "Building Machine Learning Pipelines and Deploying ML Models from Scratch" is facilitated by Hien Luu, engineering manager at Linkedin focused on Big Data. This Learning Path will take students on a journey of learning how to develop ML-powered applications by exploring a well-known and proven Machine Learning development process. Key takeaways will include:

  • Understand the ML development process
  • Perform feature engineering with Apache Spark
  • Build Machine Learning pipelines and training ML models with Apache Spark
  • Gain a general understanding of the Machine Learning model evaluation
  • Manage Machine Learning models in terms of packaging and deployment with MLFlow

Create a stronger team - Join the Learning Paths as a group

Participating in the AI and ML Learning Paths as a team supports your collaborative learning. Bounce ideas around with each other, explore solutions to problems, engage with our facilitators, and discuss important topics with your peers. You will leave with new ideas and things you want to try.

If you want to learn the essential tools, practices, and techniques that will equip you with practical AI and ML skills you can use immediately, sign up for a QCon Learning Path. Register now before the limited number of tickets sell out.

*Each attendee will receive a Certificate of Achievement at the end of the two-day training.

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