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Advanced Automation with Scripting

Master advanced scripting techniques to streamline system operations and enable efficient automation. This course is designed for senior professionals aiming to enhance productivity and scalability through expert scripting.

Key Concepts Youā€™ll Explore:

āž”ļø Linux Scripting: Master Linux scripting to manage and automate administrative tasks efficiently.

āž”ļø Bash Scripting: Develop advanced Bash scripts for process automation and system integration.

āž”ļø Shell Customization: Tailor your shell environment to optimize workflows and improve developer productivity.

āž”ļø Scripting Best Practices: Learn industry-proven practices to create robust, reusable, and maintainable scripts for scalable solutions.

Advanced Data Engineering using AWS

Elevate your career as a Senior Data Engineer with Advanced Data Engineering using AWS. Through hands-on labs, self-paced learning content, and industry-recognized certification, you'll master AWS security, automation, and data management techniques, including S3, DynamoDB, and Lambda. Delve into advanced data warehousing, distributed systems with Spark and Hadoop, and efficient scripting with Unix. Learn to design secure data lakes, manage AWS Kinesis Data Streams, and optimize machine learning workflows with SageMaker. Gain practical expertise to build, secure, and automate scalable data solutions, and lead with confidence in tackling complex business challenges.

Advanced Data Visualization Techniques for Data Visualization Specialists

This course is designed for professionals aiming to advance their expertise as Data Visualization Specialists. Through practical, hands-on modules, participants will deepen their understanding of data visualization tools and techniques, enhancing their ability to create interactive, dynamic, and stakeholder-focused visualizations. The course covers a range of platforms such as AWS QuickSight, Power BI, Tableau, and QlikView, alongside collaboration and version control frameworks essential for managing medium to large-scale projects. By mastering sophisticated design principles, big data visualization techniques, and AWS data analytics tools, learners will be equipped to handle complex visualizations, transforming data into actionable insights that drive business decisions.

Advanced Data Warehousing & Analytics on AWS

Master the design, optimization, and analytics of AWS-based data warehouses. Learn to build scalable, high-performance cloud data architectures using Redshift, RDS, DynamoDB, Athena, Glue, and QuickSight. Gain hands-on experience in schema design, query optimization, ETL pipelines, and BI dashboards to extract powerful business insights.

šŸ“Œ What You Will Learn:

āœ… Choose the right AWS database for analytics.

āœ… Optimize Redshift, Athena, and DynamoDB for performance & cost.

āœ… Automate ETL workflows using Glue & Lambda.

āœ… Query large datasets efficiently with Athena & Redshift Spectrum.

āœ… Build interactive BI dashboards using Amazon QuickSight.

Advanced Frontend Architecture - Angular

Elevate your career with advanced projects and elite certifications. Master Angular, design dynamic user interfaces, and optimize performance. Enhance your expertise and lead innovation in the tech industry

Advanced Kubernetes for DevOps

Master Kubernetes, the leading container orchestration tool, in this advanced course tailored for senior DevOps engineers. Learn how to deploy, manage, and scale cloud-native applications with high availability, security, and seamless updates.

Key Concepts Youā€™ll Master:

āž”ļø Kubernetes Fundamentals ā€“ Understand pods, nodes, clusters, and the Kubernetes architecture.

āž”ļø Kubernetes Deployments and Services ā€“ Manage rolling updates, service discovery, and application lifecycle.

āž”ļø Kubernetes Networking and Volumes ā€“ Configure networking, persistent storage, and volume provisioning.

āž”ļø Kubernetes Scaling and Updates ā€“ Implement scaling strategies and ensure zero-downtime updates.

āž”ļø Kubernetes Security ā€“ Secure clusters using RBAC, secrets management, and network policies.

This course equips senior DevOps professionals with the skills to manage complex Kubernetes environments and drive efficient, scalable cloud solutions.

Advanced Machine Learning Engineering: Foundations to Cloud Deployment

This course is designed to equip learners with the skills needed to excel as Machine Learning Engineers. Covering foundational concepts and advanced techniques, it is structured into three modules:

  • Classical Machine Learning
  • Neural Networks


Learners will engage with TutorialsPointā€™s curated materials, real-world projects, and interactive quizzes to:

  • Develop foundational expertise in machine learning.
  • Build and optimize neural networks for various tasks.
Analyzing Buyers Persona

Understanding your buyers is key to closing more deals and building long-term customer relationships. This course equips sales executives with the ability to analyze and adapt to different buyer behavior styles using the DISC Framework. Learn how to identify buyer personas, tailor your communication strategies, and engage effectively to drive conversions.

  • Decode Dominant (D), Influential (I), Steady (S), and Conscientious (C) buyer styles for more effective sales interactions.
  • Use data-driven checklists and frameworks to adapt communication and engagement strategies.
  • Apply real-world scenario analysis and create tailored pitches to resonate with each buyer type.

Through hands-on activities, quizzes, and practical applications, you'll gain the skills needed to personalize your sales approach, enhance buyer trust, and boost conversion rates.

Architecting the Future: AWS Frameworks

Learn to design and evaluate cloud solutions using the AWS Well-Architected Framework, ensuring optimal performance, security, and cost-effectiveness. This course empowers you to align architectures with the Frameworkā€™s Five Pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.

āž”ļø Well-Architected Review Execution: Conduct structured reviews to evaluate and improve your cloud workloads.

āž”ļø Pillar-Specific Best Practices: Apply framework pillar best practices to create robust architectures.

āž”ļø Framework Principles Alignment: Design scalable, efficient systems with the Well-Architected Framework.

āž”ļø Framework Pillar Expertise: Gain deep insights into applying each pillar for real-world scenarios.

By the end, youā€™ll have the skills to create, assess, and optimize cloud architectures in alignment with AWS's highest standards.