About the course

Cloud DevOps Data Engineer Data Science AI/ML Live Workshop and Training Classes

This comprehensive live workshop and training program is designed to empower professionals with the skills and expertise required to excel in Cloud Computing, DevOps, Data Engineering, Data Science, and AI/ML. Through hands-on exercises, real-world projects, and 1-on-1 technical support, you’ll gain practical knowledge to build scalable, automated solutions for modern data-driven applications.

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What You’ll Learn:

Cloud Computing and DevOps:

• Master AWS, Azure, and Google Cloud services for cloud infrastructure.
• Automate deployments with Terraform, Ansible, Docker, and Kubernetes.
• Implement robust CI/CD pipelines for efficient software delivery.
• Manage cloud-native solutions and DevOps workflows.

Data Engineering:

• Design and build ETL pipelines for batch and streaming data.
• Implement data lakes and data warehouses using AWS Glue, Azure Data Factory, and GCP Dataflow.
• Optimize big data processing with Apache Spark and Kafka.
• Manage cloud-based databases and storage solutions like Amazon Redshift, BigQuery, and Snowflake.

Data Science and AI/ML:

• Develop and deploy machine learning models with TensorFlow, PyTorch, and Scikit-learn.
• Analyze data using Python, SQL, and visualization tools like Power BI and Tableau.
• Learn Natural Language Processing (NLP) and Computer Vision techniques.
• Explore AI/ML services like AWS SageMaker, Azure ML, and Google AI Platform.

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Key Features:

• Live Instructor-Led Sessions: Interactive classes for hands-on learning and Q&A.
• Real-World Projects: Work on end-to-end use cases across cloud, data engineering, and AI/ML.
• 1-on-1 Tech Support: Personalized guidance from industry experts to solve your technical challenges.
• Comprehensive Curriculum: Covers foundational to advanced topics for a holistic understanding.
• Flexible Weekend Schedule: Perfect for working professionals.
• Certification Guidance: Prepare for industry-recognized certifications in AWS, Azure, GCP, and DevOps.

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Who Should Attend?

• Cloud Enthusiasts: Professionals seeking expertise in cloud platforms.
• Aspiring Data Engineers and Data Scientists: Individuals looking to master data workflows and AI/ML models.
• DevOps Practitioners: Those wanting to automate and scale infrastructure for data applications.
• IT Professionals and Software Engineers: Looking to transition into cloud, DevOps, or AI/ML roles.

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Prerequisites:

• Basic knowledge of programming (Python/Java).
• Familiarity with cloud computing concepts is beneficial but not mandatory.

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Outcomes:

By the end of this program, you’ll be able to:

• Design and implement scalable data pipelines on cloud platforms.
• Automate deployments and manage infrastructure using DevOps best practices.
• Build, train, and deploy machine learning models for real-world applications.
• Leverage cloud AI/ML tools for end-to-end data science workflows.

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Get ready to upskill and future-proof your career in the dynamic fields of Cloud, DevOps, Data Engineering, and AI/ML!

Let me know if you'd like further customization or additional details!