In this immersive 2 days workshop, participants will experience firsthand how Amazon Q Developer and Amazon Q for Business can deliver substantial value across their organization.

Key Values and Benefits:

Enhanced Developer Productivity:

Amazon Q Developer enables a 30-50% productivity increase by automating routine tasks and enhancing coding collaboration, letting developers focus on innovation for faster feature releases.

Optimized Business Processes:

Amazon Q for Business uses AI to automate collaboration, knowledge sharing, and decision-making, reducing operational bottlenecks and improving productivity.

Tailored Use Cases for Transformation:

Participants will define impactful use cases aligned with organizational goals to drive measurable results, improve customer experience, and strengthen brand differentiation.

Workshop Agenda:

Day 1-

Focus on Amazon Q Developer and Amazon Q for Business, with technical deep dives into coding processes, practices and engineering use cases.

1) Overview

Overview of its capabilities and how it can enhance software development processes.

2) Adapt to Your Ecosystem

Analyze current software development practices. Identify gaps and explore how Amazon Q Developer and Amazon Q for Business can streamline coding processes and generate secure, efficient code.

3) Engineering Use Cases

Explore practical, live demonstrations of AI-enhanced engineering use cases using Amazon Q Developer and Amazon Q for Business.

4) Measuring AI Impacts

Dive into Atos’s AI adoption expertise with a focus on the impact of Amazon Q Developer and Amazon Q for Business.

5) Q&A and Wrap

Discuss any questions, clarifications, or specific use cases

Day 2-

Day 2 objective is to apply the concepts from Day 1 in real-world scenarios

1) Hands-On Lab: Amazon Q Developer

Overview: Set up the development environment with Amazon Q Developer. Activity: Participants will work on generating, enhancing, and securing code in real time for applications in their environment using Amazon Q Developer. They will use AI-powered suggestions, code security, and optimization features to improve code efficiency.

2) Collaboration Session: AI-Enhanced Code Reviews

Overview: Participants will review each other's code using AI-driven feedback tools within Amazon Q Developer. Activity: Conduct peer code reviews and suggest improvements, focusing on AI-assisted recommendations for security, performance, and maintainability.

3) Case Study: Implementing Amazon Q for Business

Overview: Present a case study that involves deploying Amazon Q for Business within an enterprise. Activity: Participants will break into teams and simulate the integration of Amazon Q for Business into a fictional organization's KMDB Applications

4) Practical Lab: Automating Business Workflows with Amazon Q Business Application

Overview: Create an application with Amazon Q for Business to streamline common business tasks Activity: Participants will configure and customize workflows for different scenarios and explore integrations with existing tools (S3, git, JIRA, ITSM).

5) Wrap-Up: Practical Insights and Next Steps

Discussion: Reflect on the hands-on exercises and discuss potential real-world applications. Q&A: Address any technical challenges or queries from participants.

Workshop Outcomes:

Understanding of Amazon Q Applications:

Participants will gain a thorough knowledge of how Amazon Q Developer and Amazon Q for Business can be leveraged to drive productivity and enhance business processes.

Identified Use Cases and Implementation Strategy:

At the end of the workshop, teams will have identified high-priority use cases tailored to their organizational needs and developed a clear strategy for implementation.

Assessment of Data Readiness:

Organizations will receive an evaluation of their data preparedness, highlighting any necessary transformations to optimize their AI journey.

Conclusion:

By participating in the Atos AI-Powered Engineering and Business Innovation Workshop, organizations can harness the transformative potential of generative AI tools, such as Amazon Q Developer and Amazon Q for Business. These powerful resources drive efficiencies, boost productivity, and create exceptional value for customers.

Participants will walk away with actionable insights and a tailored adoption strategy that will empower your teams to excel in today’s competitive landscape.