Towards an AI-first Organization

AI and especially Generative AI is rapidly changing the business landscape and has the potential to revolutionize industries. However, to fully leverage its potential, it's essential for executives to understand the business side of AI and Generative AI, and develop strategies for success. By training your teams about the business side of AI, you can equip them with the knowledge and skills necessary to identify new opportunities, develop innovative solutions, and stay ahead of the competition. Furthermore, a well-trained team will be able to make better use of data, improve decision making, and ultimately drive growth and profitability. By investing in custom on-the-job training from AI Product Institute for executives and teams, your company can gain a distinct competitive edge and avoid costly mistakes by having a clear understanding of the technology and its various applications.

Tailored to your Team's Needs

Expert Guidance on End-to-end
AI and Generative AI Product Development

Problem Identification and Solution Design

Organizations should ensure that the problem they are aiming to solve with AI, including generative AI, is well-defined and that an AI solution is indeed the best approach. A lack of clarity in problem definition and solution design can lead to scope creep, wasted resources, and solutions that don’t address the core issue. Without expert guidance, there’s a risk of misidentifying the problem or pursuing an AI approach when a simpler solution could suffice, potentially leading to unnecessary complexity and costs.

Data Collection and Management

It is crucial to collect high-quality, diverse, and representative data for training AI models. For generative AI, ensuring that the data does not contain biases or copyrighted materials is especially important. Poor data management practices can lead to biased AI models, legal issues, and ineffective solutions. Lack of expert guidance can result in overlooking critical data privacy and security considerations, leading to potential breaches and compliance issues.

Model Development and Validation

In this stage, designing, training, and validating the AI models occur. Attention should be given to selecting the right algorithms, ensuring model interpretability, and preventing overfitting, especially for complex generative AI models. Without expert input, there's a risk of choosing inappropriate model architectures, misunderstanding model limitations, or failing to adequately validate the model, which could compromise the reliability and effectiveness of AI applications.

MLOps: Deployment

Deploying AI models involves integrating them into existing systems and workflows. It’s essential to focus on seamless integration, scalability, and continuous monitoring. For generative AI, considering the ethical implications and potential impacts of generated content is crucial. Lack of expertise can lead to deployment failures, scalability issues, and ethical dilemmas if the model's outputs are not adequately evaluated and controlled.

MLOps: Monitoring and Maintenance

Post-deployment, continuous monitoring of model performance, retraining models with new data, and updating models to meet changing requirements are necessary. It’s important to monitor for model drift, performance degradation, and ethical or bias issues, especially with generative AI, where outputs can evolve over time. Without knowledgeable oversight, organizations might miss critical updates, fail to catch emerging issues, and let model performance deteriorate, undermining user trust and solution effectiveness.

MLOps: Feedback and Iteration

Gathering user feedback, evaluating model impacts, and iterating on the solution are part of a cycle of continuous improvement. For AI and generative AI products, ensuring that feedback mechanisms capture concerns about fairness, privacy, and output quality is vital. Without expert guidance, there is a risk of misinterpreting feedback, prioritizing the wrong updates, and potentially iterating in a way that exacerbates existing issues rather than resolving them.

Starting from $750,000 for a custom GenAI project expert guidance.

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Advanced Sessions

Ask to include these select sessions in your custom training:

TC001: Generative AI Demystified for Executives

Understanding Generative AI is crucial for non-technical individuals as it demystifies the complex world of artificial intelligence. It empowers people to grasp the potential and limitations of AI-generated content, enabling informed decisions in various fields like media, marketing, and technology, fostering a more AI-literate society.

FR001: Frameworks to Identify Generative AI Opportunities

Understanding how to identify opportunities in generative AI frameworks is crucial in today's tech landscape. It enables individuals and businesses to harness the power of AI for creative and innovative solutions, driving advancements in fields like art, content generation, and problem-solving, ultimately shaping the future of technology and

FR002: Safe Generative AI Guidelines and Risk Management Techniques

Learning about safe generative AI guidelines and risk management techniques is crucial in ensuring the responsible development and deployment of artificial intelligence. It helps prevent harmful consequences, ethical dilemmas, and unintended biases in AI systems, fostering trust, security, and equitable AI solutions for a better, safer future.

ST001: Business Strategies for AI Adoption

Understanding AI adoption strategies in business is crucial for staying competitive in today's tech-driven landscape. This training equips professionals with the knowledge and tools needed to harness AI's potential, enabling smarter decision-making, cost savings, and improved customer experiences. It empowers organizations to thrive in an increasingly AI-centric world.

ST002: Developing a Digital Operating Model

Understanding how to create and implement a Digital Operating Model is crucial in today's rapidly evolving business landscape. It enables organizations to harness digital technologies effectively, streamline operations, enhance customer experiences, and stay competitive. This training equips individuals with essential skills to navigate the digital transformation journey successfully.

ST003: Revitalizing Operating, Infrastructure and Business Models for AI

Understanding the transformation of operating procedures, infrastructure, and business models in the context of AI is crucial in today's rapidly evolving technological landscape. This training equips individuals with the knowledge to adapt, innovate, and remain competitive, as AI continues to reshape industries and drive unprecedented change.

And, more...

Schedule a Consultation

Standardized Programs

Experience
Generative AI
Product Development
on a Real Project

Generative AI for Product and Business Innovation Training and Workshop

Starting from $450,000 for training a team of 10 on one GenAI project.

Schedule a Consultation

Why Train With AI Product Institute

Make Informed Decisions

With a working knowledge of the capabilities and limitations of Generative AI, your teams can evaluate the feasibility of AI-driven initiatives, and make decisions that are more aligned with the company's goals and resources.

Enhance Collaboration

Bridge the communication gap between the technical and non-technical stakeholders in your company. Achieve better collaboration, clearer project scopes, and an overall more efficient use of resources in projects that utilize Generative AI.

Identify New Opportunities

Spot new Generative AI opportunities for your products or services that you might not have considered otherwise and create innovative applications that could give the company a competitive edge.

Risk and Ethical Considerations

A non-technical training will provide the necessary knowledge to understand Generative AI risks and to incorporate safeguards. This is crucial for maintaining a good brand image and avoiding regulatory and legal issues.

Schedule a Consultation

Towards an AI-first Organization

Tailored to your Team's Needs

Expert Guidance on End-to-end AI and Generative AI Product Development

Data Collection and Management

Model Development and Validation

MLOps: Monitoring and Maintenance

MLOps: Feedback and Iteration

Advanced Sessions

Ask to include these select sessions in your custom training:

TC001: Generative AI Demystified for Executives

FR001: Frameworks to Identify Generative AI Opportunities

FR002: Safe Generative AI Guidelines and Risk Management Techniques

ST001: Business Strategies for AI Adoption

ST002: Developing a Digital Operating Model

ST003: Revitalizing Operating, Infrastructure and Business Models for AI

And, more...

Standardized Programs

Experience Generative AI Product Development on a Real Project

Generative AI for Product and Business Innovation Training and Workshop

Why Train With AI Product Institute

Make Informed Decisions

With a working knowledge of the capabilities and limitations of Generative AI, your teams can evaluate the feasibility of AI-driven initiatives, and make decisions that are more aligned with the company's goals and resources.

Enhance Collaboration

Bridge the communication gap between the technical and non-technical stakeholders in your company. Achieve better collaboration, clearer project scopes, and an overall more efficient use of resources in projects that utilize Generative AI.

Identify New Opportunities

Spot new Generative AI opportunities for your products or services that you might not have considered otherwise and create innovative applications that could give the company a competitive edge.

Risk and Ethical Considerations

A non-technical training will provide the necessary knowledge to understand Generative AI risks and to incorporate safeguards. This is crucial for maintaining a good brand image and avoiding regulatory and legal issues.

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Expert Guidance on End-to-end
AI and Generative AI Product Development

Experience
Generative AI
Product Development
on a Real Project