You’ll gain a solid understanding of how to use Generative AI in real enterprise scenarios—from automating workflows to building intelligent assistants and knowledge engines. The workshop provides practical skills in using LLM APIs, designing prompts, and integrating AI with enterprise tools. You’ll also explore GenAI system design, risk awareness, and project planning. By the end, you’ll be equipped to drive GenAI initiatives in your organization with clarity and technical confidence—whether for internal tools, customer service, or innovation labs.

The workshop covers cross-industry use cases such as legal document summarization, automated ticket classification, policy compliance, HR support bots, enterprise search with retrieval-augmented generation (RAG), and personalized employee copilots. Depending on participant interests, domain-specific use cases in BFSI, healthcare, retail, manufacturing, or government can be discussed. These real-world examples help teams translate GenAI capabilities into tangible business solutions tailored to their operational goals and compliance environments.

Yes. The workshop offers guided hands-on sessions using platforms like Azure OpenAI, Google Vertex AI, or Amazon Bedrock—depending on your environment. You’ll learn how to call models (e.g., GPT-4, Claude, Gemini), manage API credentials, handle request/response structures, and track usage. The sessions also show how to build simple apps or prototypes on these platforms using no-code or low-code tools, enabling fast experimentation with real enterprise-grade infrastructure.

Participants will work on a mini GenAI project or MVP such as a knowledge Q&A bot, policy assistant, summarization tool, or document tagger. You’ll design prompts, wire up model APIs, and optionally integrate vector search or workflows using Zapier, Python, or enterprise APIs. The MVP is aligned with your domain or function—so you leave with a working prototype that can evolve into an internal POC or spark a broader GenAI initiative within your team.

No prior experience is needed. The workshop starts with foundational concepts like what LLMs are, how they interpret prompts, and what kind of tasks they’re suited for. You’ll then progress to hands-on exercises using models via APIs or GUI tools. Whether you’re completely new to AI or have used tools like ChatGPT casually, the course helps you build working knowledge and gain the confidence to build or lead GenAI projects in your workplace.

Yes. You’ll explore integration approaches including API chaining, using tools like Zapier or LangChain, and calling enterprise services from GenAI apps. The course introduces architectural considerations for embedding GenAI into CRMs, knowledge bases, HR platforms, or workflow engines. While the focus is on prototypes, you’ll gain a strong understanding of authentication, data flow, and risk mitigation—preparing you to work with your IT teams on secure and scalable implementations.

Absolutely. A dedicated module focuses on responsible AI use in enterprise contexts. You’ll learn about prompt injection, data leakage, output filtering, logging strategies, and how to manage privacy in LLM interactions. Enterprise-specific risks such as use of internal documents, PII exposure, or model misuse are discussed. You’ll also review guardrails, logging tools, and monitoring practices that support compliant and secure GenAI usage aligned with company policy and regulatory standards.

Certifications are outside the scope of this program. However, the knowledge and skill gain may be useful in getting the certifications. Optional follow-up sessions or office hours may also be provided to support teams in refining prompts on their real-world applications. These post-training resources help teams internalize techniques and stay current with evolving best practices in prompting. Additionally, we undertake consulting assignments to support enterprises in customizing and deploying generative AI solutions tailored to their specific business needs—ensuring sustained impact beyond the training.

Generative AI is rapidly reshaping industries, and early adopters are gaining a strategic edge in productivity, decision-making, and customer experience. This workshop equips your team to move beyond experimentation to practical deployment—closing the skills gap and enabling AI-powered services within your enterprise. Whether for innovation, operational efficiency, or competitive advantage, this is the right time to upskill your workforce, test ideas quickly, and embed GenAI responsibly into your roadmap.

The workshop aligns with innovation and L&D goals by providing a structured learning path toward AI literacy, rapid prototyping, and enterprise-grade experimentation. It empowers teams to think critically about AI adoption, explore use cases relevant to your sector, and build MVPs that feed into innovation pipelines. For L&D, it offers hands-on skill-building, collaborative learning, and tangible takeaways that help staff engage with AI safely, creatively, and productively.

Yes. The content can be tailored with domain-specific examples, APIs, or workflows—whether you’re in finance, healthcare, retail, or telecom. We can align the exercises to your preferred platform (e.g., Azure, GCP, AWS), data handling policies, or strategic use cases (e.g., contract review, customer support automation, internal copilots). Customization ensures that the training is relevant, impactful, and directly applicable to your current tools and goals.

This workshop benefits cross-functional teams including innovation leads, product managers, software engineers, data teams, and business analysts. It’s also valuable for HR, compliance, or L&D professionals evaluating AI use in enterprise workflows. Whether you’re building solutions, writing AI strategies, or managing data governance, this workshop gives you the language, tools, and shared understanding to participate meaningfully in GenAI projects and collaborations.

Yes. The workshop is designed to accommodate both technical and non-technical participants. Developers and data teams dive deeper into prompts, APIs, and workflows, while business or functional stakeholders focus on use case design, prompt effectiveness, and risk awareness. Hands-on tasks are simplified or modular, ensuring everyone contributes and learns without needing prior AI or coding background. This makes it ideal for cross-functional GenAI adoption.

Yes. Participants receive prompt templates, evaluation checklists, sample code, and links to curated resources for further practice. Certifications are outside the scope of this program. However, the knowledge and skill gain may be useful in getting the certifications. Optional follow-up sessions or office hours may also be provided to support teams in refining prompts on their real-world applications. These post-training resources help teams internalize techniques and stay current with evolving best practices in prompting. Additionally, we undertake consulting assignments to support enterprises in customizing and deploying generative AI solutions tailored to their specific business needs—ensuring sustained impact beyond the training.

You can expect accelerated proof-of-concept development, reduced time-to-solution for AI use cases, and enhanced team readiness to lead GenAI efforts internally. Participants will leave with working prototypes, reusable prompts, and the confidence to scale GenAI responsibly. This reduces reliance on external vendors and builds in-house capability. The workshop also fosters cross-team collaboration, upskills talent, and aligns GenAI with business priorities—delivering both strategic and operational returns in your AI journey.