Google Certified Professional Data Engineer Learning Path

This learning path is designed to help you prepare for the Google Certified Professional Data Engineer Exam. Even if you don't plan to take the exam, these courses will provide you with a solid understanding of the various data processing components of the Google Cloud Platform.

Core Components of Google Cloud Platform:

1. BigQuery: 
   Learn how to load and query data in BigQuery.
   Optimize BigQuery’s performance.
   Visualize your data effectively.

2. Data Processing:
   Use Cloud Machine Learning Engine to train neural networks for predictive analytics.
   Build data processing pipelines with Cloud Dataflow and Cloud Dataproc using Apache Beam, Hadoop, and Spark.

3. Bigtable:
   Understand Bigtable, Google’s high-performance NoSQL database.
   Leverage Bigtable’s capabilities for big data applications.

Hands-On Experience:

Each course includes hands-on demos to reinforce your learning. After completing the courses, you can test your knowledge with a practice exam.

Whether you're aiming for certification or simply seeking to enhance your data engineering skills, this learning path provides comprehensive training in Google Cloud's data processing services.

Placement assistance program through LSA Recruit:

1. At LSA TRAINING, we are committed to helping our students secure suitable job opportunities through our comprehensive Placement Assistance Program.

   Key Features of the Program:

   1. Scope: Our program assists LSA Training students in finding jobs in their desired industry sectors and roles.
   2. Target Audience: Open to students who have successfully completed their training with LSA.
   3. Employer Database: We maintain a database of potential employers relevant to students' skills and interests.
   4. Partnerships: We establish partnerships with employers, attend career fairs, and participate in industry events to facilitate job placements.
   5. Candidate Profiles: Detailed profiles are created outlining students' skills, knowledge, experience, and qualifications.
   6. Career Coaching: We offer career advice, resume development, and interview preparation services.
   7. Job Matching: Students are matched with potential employers based on their profiles and job requirements.
   8. Interview Arrangements: We coordinate interviews between students and employers.
   9. Feedback: Post-interview feedback is provided to help students improve their job search skills.
   10. Success Monitoring: We track the success rate of placements and gather feedback from students and employers to continuously improve our services.

   Contact Us:

   For more details on our Recruitment Program, visit [www.Lsarecruit.co.uk], call us at +44 02039501453, or email us at Careers@Lsarecruit.co.uk.

   Empower your career with LSA TRAINING and LSA Recruit.

LSA Training Learning Objectives:

Build and Maintain Data Structures and Databases: Develop the skills to design, implement, and manage data structures and databases efficiently.
Analyze Data and Enable Machine Learning: Learn to analyze data effectively and apply machine learning techniques to derive insights.
Optimize Data Representations and Infrastructure Performance: Enhance data representations for better performance and cost efficiency.
Ensure Reliability of Data Processing Infrastructure: Ensure robust and reliable data processing systems.
Visualize Data: Master data visualization techniques to present data clearly and effectively.
Design Secure Data Processing Systems: Learn to design data processing systems with a strong emphasis on security.

Prerequisites:

Basic Database Knowledge: While not mandatory, basic database knowledge is recommended. We will cover fundamental database concepts at the start of the training.

Intended Audience:

Data Professionals: Ideal for data professionals seeking to enhance their skills and knowledge in data engineering.
Google Professional Data Engineer Exam Candidates: Perfect for individuals preparing for the Google Professional Data Engineer exam.