Amazon Bedrock Workshop

Whether you're starting a GenAI project or enhancing an existing application, Metal Toad offers a hands-on Amazon Bedrock workshop to help you choose the right foundation model—Amazon Nova, Claude, Llama, or DeepSeek—for your use case.

Our team combines deep expertise in AWS GenAI services with real-world experience across language, image, and search capabilities. Backed by a hybrid U.S. and Brazil-based delivery model, we ensure cost-effective, scalable implementation tailored to your business goals.

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Get Started with an Amazon Bedrock Workshop

We help our customers unlock AWS funding and select the bed Generative AI model—Nova, Llama, DeepSeek, Claude—for their use case.

Unlock Proof of Concept Funding

Speak with our team to understand how Metal Toad can help you drive innovation, growth and success. As an Advanced AWS Consulting Partner with the GenAI Competency, we can help you unlock up to $250,000 in Proof of Concept Funding.

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Why Conduct and Amazon Bedrock Workshop

An Amazon Bedrock workshop helps businesses quickly unlock the value of Generative AI while minimizing risk and avoiding costly missteps. Whether you're launching a new product, streamlining internal processes, or creating intelligent customer experiences, the workshop offers expert guidance to align your GenAI strategy with AWS best practices.

Reasons to engage in a Bedrock workshop:

  • Simplified model selection: Evaluate Claude, Amazon Nova, Llama, and DeepSeek to find the best fit for your specific use case.
  • Accelerated time to value: Quickly prototype and validate ideas using AWS-native tools supported by experienced GenAI developers.
  • Optimized cost and scalability: Design right-sized, pay-as-you-go solutions tailored to your business goals.
  • Built-in security and compliance: Rely on AWS infrastructure for enterprise-grade data protection and governance.
  • Future-ready implementation: Integrate the latest GenAI technologies without overhauling your existing systems.

Led by Metal Toad’s U.S. team, our Amazon Bedrock workshop helps you move from exploration to execution with confidence and clarity.

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FREE OUTLINE — Download it now! Learn how our GenAI whiteboarding session can unlock up to $50K in AWS funding for your GenAI Proof of Concept.  

Which GenAI models run in AWS Bedrock?

Keeping track of the models that run on AWS Bedrock can be an overwhelming task—which is why we do it for you! Currently Amazon Bedrock natively supports:

  • Claude by Anthropic
  • Nova by Amazon
  • Llama by Meta
  • DeepSeek
  • as well as 6 other models

Metal Toad maintains a publicly available Google Sheet, which tracks the following information:

  • Model name
  • Token count
  • Inputs (Text, Image, Video, audio)
  • Outputs (Text, Image, Video, audio)
  • Supported language #
  • Can be run in Bedrock (yes/no)
  • Allows fine tuning (yes/no)
  • Whether it is deprecated or not

We also compare it to three major competitors: OpenAI, Microsoft, & Google.

GenAI Model List spreadsheet

Our customers say it best

  • “They have been a very flexible partner in terms of scope and timeline and are absolutely critical to helping us navigate the AWS funding landscape. They bring a lot of domain knowledge, but are also very open to learning from our findings and expertise; it's definitely a team-oriented culture. We absolutely love working with Metal Toad!”

    matt-bricker
    Matt Bricker CTO at Rightsline

  • “One of the best relationships we have ever had with a vendor.”

    tom-paasch
    Tom Paasch Product Manager at Warn Industries

  • “ They have been a great partner and easy to work with. We can't say enough positive things about Metal Toad - technically competent, professional, and probably most important, they understand customer service”

    joe holland
    Joe Holland Securesheet Technologies

  • “Metal toad's ability to solve problems with a humble approach has earned them a lot of respect with everyone who's had a chance to work with them throughout our organization. I look forward to collaborating on more projects in the future.”

    Nathan Johnson CoverOregon

  • “The cloud computing environment that Metal Toad built provided significant savings on our traditional in-house hosted environment while delivering a more reliable site, and providing a better customer experience.”

    Gerard Lomonaco VP Operations/Technology, Sony

Metal Toad AWS Competencies & Service Deliveries

Metal Toad is an Advanced AWS Consulting partner with 4 AWS Competencies—including the GenAI and Machine Learning Competenies— 7 AWS Service Validations, 50+ AWS Certifications, and over 50+ AWS Customer launches.

50%

GenAI Cost Savings with Brazilian Nearshore Teams

$250K

AWS GenAI Proof Concept Funding available

What to look for in an Amazon Bedrock workshop

Selecting the right partner to lead your Amazon Bedrock Workshop is critical to shaping a successful Generative AI strategy. The ideal team will not only understand Bedrock’s capabilities and model options, but also guide you from ideation through to implementation with clear, business-aligned insights.

Key qualities to look for in an AWS GenAI  partner:

  • Hands-on Bedrock expertise: Deep familiarity with Amazon Bedrock and its supported models (Claude, Amazon Nova, Llama, DeepSeek), including use case evaluation and integration planning.
  • AWS-aligned funding support: Ability to help secure AWS PoC funding to offset early-stage investment and validate your AI use case with real data.
  • Strategic and technical depth: Experience designing end-to-end GenAI workflows—data pipelines, prompt design, model tuning, and system integration.
  • Efficient global delivery: A hybrid U.S. and nearshore Brazil team offering responsive collaboration and reduced development costs.
  • Security-first mindset: Proven track record meeting compliance standards like SOC 2, HIPAA, and GDPR.
  • Agile methodology: Flexible, transparent processes that support rapid iteration and cross-functional collaboration.

A strong Amazon Bedrock partner will help you cut through the hype, focus on real-world ROI, and move forward with a GenAI roadmap grounded in both business value and technical feasibility.

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Gen AI Strategy Session

 

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POTENTIAL AWS FUNDED

Gen AI Proof of Concept

POCs provide a rapid way to validate the effectiveness of Artificial Intelligence algorithms in addressing specific business challenges, accelerating the decision-making process. It can be totally or partially funded by AWS.

 

Begin Your AI POC

Why select Metal Toad for Generative AI Services

Top 5 mistakes made when implementing GenAI

Here are five common mistakes to avoid when creating a GenAI strategy:

  • 1. Skipping the Business Validation Phase
    Jumping straight into development without validating the GenAI use case can lead to wasted resources.

  • 2. Overengineering the Solution
    Building complex AI features without a clear user need often leads to bloated, underused products.

  • 3. Ignoring Infrastructure and Scalability Needs
    Failing to account for model performance, latency, and cost optimization on AWS can lead to inefficient, unsustainable deployments.

  • 4. Neglecting Data Privacy and Compliance
    Ignoring data governance, model transparency, or compliance requirements like SOC 2, HIPAA, or GDPR can create legal and reputational risks.

  • 5. Lack of a Cross-Functional Strategy
    Treating GenAI as a standalone tech project instead of a cross-functional business initiative limits impact. 

The Metal Toad Generative AI Services Advantage

We leverage our AWS GenAI Competency to address common challenges in GenAI planning:

  • 1. Business Validation with AWS PoC Funding
    We help clients secure AWS Proof of Concept funding—up to 40% of projected annual spend —to test GenAI use cases.

  • 2. Lean, Impact-Driven Development
    Our team delivers focused MVPs using agile development and prompt engineering, enabling fast iteration.

  • 3. Cloud-Native, Scalable Architecture
    We design optimized architectures using Amazon Bedrock, SageMaker, and serverless frameworks to balance performance, scalability, and cost.

  • 4. Built-In Security and Compliance
    Security is integrated from day one. We ensure compliance with SOC 2, HIPAA, and GDPR, along with responsible AI practices to protect your data and brand.

  • 5. Cross-Functional Strategic Alignment
    Our engagements bring together engineering, design, product, and legal teams—ensuring your GenAI solution aligns with business goals and delivers measurable value.

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Our award winning Generative AI service team delivers

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