Master ML Algorithms, Data Modeling, TensorFlow & Google Cloud AI/ML Services. 137 Questions, Answers with Explanations
Why take this course?
🌟 Master Google Certified Professional Machine Learning Engineer 🌟
Are you ready to unlock the full potential of machine learning and artificial intelligence on Google Cloud AI/ML Services? Dive deep into the world of ML algorithms, data modeling, and TensorFlow with our comprehensive online course crafted for professionals like you who aspire to become Google Certified Professional Machine Learning Engineers.
Course Overview:
This is not just another machine learning course; it’s a transformative journey that will equip you with the skills to translate real-world business challenges into impactful ML use cases. You’ll learn to strategically choose between ML and non-ML solutions, custom or pre-packaged options, and define how your model outputs can solve complex problems.
Key Takeaways:
- Business Challenge Translation: Turn business issues into ML opportunities with precision.
- Optimal Solution Selection: Know when to apply ML and which solutions are most suitable for the task at hand.
- Data Modeling Mastery: Understand and execute data modeling techniques effectively.
- TensorFlow Expertise: Gain hands-on experience with TensorFlow, Google’s versatile machine learning library.
- Google Cloud Platform Proficiency: Leverage Google Cloud AI/ML services for real-world applications.
- Comprehensive Question and Answer Bank: 137 detailed questions with answers and explanations to reinforce your learning.
Course Highlights:
Module 1: Translating Business Challenges into ML Use Cases
- Identify and articulate how machine learning can address business challenges.
- Learn to frame problems in a way that aligns with ML capabilities.
Module 2: Solution Strategy and Problem Definition
- Master the art of choosing between ML vs non-ML solutions.
- Define custom ML problems, outcomes of predictions, and input/output formats.
Module 3: Data Sources Identification and Business Success Criteria Alignment
- Discover where to find data for your ML projects.
- Set clear success criteria based on ML metrics and key results.
Module 4: Risk Assessment and Reliable ML Solution Design
- Understand the risks involved with ML solutions and how to mitigate them.
- Design scalable, reliable, and available ML architectures.
Module 5: Choosing Appropriate ML Services and Components
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- Learn to select the right mix of Google Cloud AI/ML services for your project’s needs.
Module 6: Data Exploration, Analysis, and Feature Engineering
- Gain insights into data visualization, statistical fundamentals, and data quality assessment.
- Build robust data pipelines and handle missing data effectively.
Module 7: Model Building and Training
- Dive into feature creation and preprocessing, ensuring consistency and integrity.
- Learn best practices for model selection and training using Google Cloud platforms.
Module 8: Model Testing, Scaling, and Implementation
- Understand how to test models rigorously, including unit tests and performance comparisons.
- Scale model training and serving, both in distributed environments and as a prediction service.
Module 9: Training and Serving Pipelines
- Design and implement comprehensive training pipelines with TFX components.
- Implement serving pipelines to meet specific performance targets.
Module 10: Metadata Tracking, Auditing, and Compliance
- Master experiment tracking, dataset and model versioning, and lineage understanding.
Module 11: Monitoring, Troubleshooting, and Performance Tuning
- Learn to monitor ML solutions effectively and troubleshoot issues that arise.
- Optimize training and serving for production environments, employing simplification techniques as needed.
Why Choose This Course?
This course is meticulously designed to cover all aspects of becoming a Google Certified Professional Machine Learning Engineer. With real-world scenarios, hands-on projects, and a robust Q&A section, you’ll be well-prepared to tackle any ML challenge. Plus, with the guidance of our expert instructor, Deepak Dubey, you can confidently pursue your certification and elevate your career in AI/ML.
📚 Join us on this analytical adventure and transform data into actionable intelligence! 🚀
