ProfessionalCertification
Professional
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Google Cloud Data Engineer Certification
Become a certified GCP data engineer
Last updated 27/02/2026 04:03:42
1 545 000 CFA XOF
30-Day Money-Back Guarantee
Lifetime access
Certificate of completion
Community support
About This Program
Comprehensive GCP data engineering program with big data projects and machine learning integration.
Fully online with 24/7 access to course materials and community forums.
**Program Features:**
• Daily live instruction
• Real-time feedback
• Peer collaboration
• Industry guest speakers
• Capstone project presentation
**Why Choose This Program:**
Our industry-leading curriculum combines theoretical knowledge with practical application. You'll work on real-world projects, receive personalized feedback, and build a professional network that will accelerate your career growth.
**Outcomes:**
Graduates report average salary increases of 40-80% and faster career progression. Our alumni work at top companies worldwide and many have launched successful startups or consulting practices.
What You'll Learn
Master google cloud fundamentals and advanced techniques
Master bigquery fundamentals and advanced techniques
Master data pipeline fundamentals and advanced techniques
Master machine learning fundamentals and advanced techniques
Participate in daily live instruction and Q&A sessions
Collaborate on team projects with global peers
Prérequis
- 3-5 years professional experience in related field
- Strong portfolio or track record required
Career Outcomes
Professional competency in chosen field
Industry-standard certification preparation
Enhanced career advancement opportunities
Comprehensive professional development
Lifetime alumni network access
Ongoing career coaching and support
Industry partnership opportunities
Program Curriculum
3 modules
14 lessons
4 weeks total
- Lesson 1: Getting Started
- Lesson 2: Key Concepts
- Lesson 3: Practical Examples
- Lesson 4: Advanced Techniques
- Lesson 5: Best Practices
- Lesson 1: Getting Started
- Lesson 2: Key Concepts
- Lesson 3: Practical Examples
- Lesson 4: Advanced Techniques
- Lesson 5: Best Practices
- Lesson 1: Getting Started
- Lesson 2: Key Concepts
- Lesson 3: Practical Examples
- Lesson 4: Advanced Techniques