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How Harnessing Hands-on Generative AI Workshops Boosted Project Readiness and Employee Performance 

Professionals engaging in hands-on Generative AI workshops, enhancing their skills, project readiness, and overall performance in real-world applications.

In recent years, generative AI has emerged as a powerful tool, revolutionizing content creation, design, and automation. But to truly harness its potential, practical, hands-on learning is essential. Nuvepro is at the forefront of this shift, providing industry-leading generative AI (GenAI) initiatives designed to equip learners and enterprises with the skills they need to thrive in the AI-driven future. Through interactive workshops, curated skill bundles, and a strong focus on ethical AI practices, Nuvepro is shaping a more accessible and practical pathway to AI expertise. 

Pioneering Practical Learning with GenAI Workshops 

Understanding AI theory is valuable, but hands-on experience is where real growth happens. Nuvepro’s GenAI workshops are built on this principle. Each workshop provides immersive, practical learning experiences where participants dive directly into real-world applications. They work hands-on with advanced AI models, mastering techniques such as prompt engineering, model fine-tuning, and AI-driven content creation. Check Nuvepro’s webpage to learn how our Gen AI hands on workshops transformed workshop attendees 

These hands-on Gen AI workshops cover an impressive range of GenAI applications, from building conversational AI to crafting text-to-image models and generating AI-based insights. Learners engage with tools and frameworks used by top AI professionals, ensuring they acquire job-ready skills and a strong understanding of the potential applications of GenAI. 

Workshop 1: Harnessing the Power of CodeWhisperer 

Topic: Hands-on Experience with Nuvepro’s Skill Bundles on Gen AI CodeWhisperer Capabilities 

The first workshop set the tone for what would become a transformative learning experience. Participants were introduced to the Nuvepro Skill Bundles and the powerful capabilities of AWS CodeWhisperer—an AI-powered coding companion. 

This session went beyond introducing a tool; it immersed attendees in practical exercises, teaching them how to integrate CodeWhisperer into their development workflows. 

Key Takeaways: 

  • Practical Problem Solving: Participants learned to leverage CodeWhisperer for generating code snippets, debugging, and enhancing productivity in real-time. 
  • Enhanced Productivity: By using AI to assist with repetitive coding tasks, learners experienced how automation frees them to focus on creative problem-solving. 
  • Project Readiness in Action: Every scenario simulated in the workshop was designed to mirror challenges participants encounter in their daily roles, ensuring immediate applicability. 

This hands-on session emphasized project readiness by blending theoretical knowledge with immersive, practical training. The result? A workforce equipped to work smarter, not harder. 

Workshop 2: Unlocking the Potential of Multimodal Chat Applications 

Topic: Advanced Capabilities of Generative AI Leveraging Amazon Bedrock Models 

The second workshop took participants deeper into the world of Generative AI, focusing on Amazon Bedrock Models. This was a game-changer. Participants explored how to create multimodal chat applications capable of understanding and processing multiple forms of input, including text, images, and voice. 

Why This Matters: 

Today’s consumers demand dynamic, intuitive applications that deliver personalized experiences. This session demonstrated how AI-powered chat applications can meet—and exceed—these expectations. 

Key Learnings: 

  • Building Advanced Features: Participants developed applications that could seamlessly integrate diverse input formats, expanding the potential for user engagement. 
  • Hands-On Labs: Nuvepro’s sandbox environments provided a safe space for experimentation, allowing learners to build and test prototypes without fear of failure. 
  • Real-World Relevance: From customer service bots to virtual assistants, the skills gained here were directly applicable to industry needs. 

This workshop exemplified learning by doing, giving participants the tools to innovate and solve complex challenges with confidence. 

Workshop 3: Crafting Customized Solutions with RAG 

Topic: Building Applications Using Retrieval-Augmented Generation (RAG) 

Customization is the future of technology, and this workshop was a masterclass in creating tailored solutions. Participants explored Retrieval-Augmented Generation (RAG), a cutting-edge AI technique that combines generative AI with external knowledge sources to produce highly specific outputs. 

Hands-On Learning at Its Best: 

This wasn’t just another session—it was an opportunity for participants to engage deeply with a transformative technology. 

Key Outcomes: 

  • Enterprise-Specific Solutions: Learners discovered how RAG enables them to build applications that are not only intelligent but also aligned with the unique needs of their organizations. 
  • Practical Exposure: Nuvepro’s innovative platform made it easy to experiment with RAG, turning complex concepts into manageable, actionable skills. 
  • Boosting Job Readiness: By mastering this advanced technique, participants left with a competitive edge in their respective fields. 

The workshop highlighted how sandbox environments foster creativity, enabling participants to innovate freely while preparing for real-world challenges. 

Workshop 4: Building Personalized AI Assistants with AI Agents 

Topic: Building Personalized AI Assistants with Agents 

The final workshop was a grand culmination of the series, focusing on the creation of personalized AI assistants using AI agents. These assistants go beyond generic interactions, offering tailored solutions based on individual preferences and needs. 

A Transformative Experience: 

This session didn’t just teach participants how to build AI assistants; it showed them the endless possibilities such tools unlock for businesses and consumers alike. 

Key Learnings: 

  • Tailoring Functionality: Participants learned to design assistants capable of adapting to specific user preferences, enhancing both engagement and usability. 
  • Empowering Enterprises: From HR tools to customer service bots, the applications of personalized AI assistants are limitless. 
  • Nuvepro’s Role: By leveraging Nuvepro’s hands-on labs, participants could experiment with building, testing, and optimizing their assistants, ensuring they were project-ready from day one. 

This workshop underscored the power of hands-on learning in driving both job readiness and innovation

What Makes Nuvepro’s Workshops So Effective? 

At the heart of Nuvepro’s success is its unwavering commitment to hands-on learning. Unlike traditional training methods, which often focus on passive consumption of information, Nuvepro’s workshops immerse participants in real-world challenges. 

Key Differentiators: 

  • Sandbox Environments: Safe, controlled spaces where learners can experiment, fail, and learn without consequences. 
  • Real-World Scenarios: Every exercise mirrors actual industry challenges, ensuring immediate applicability. 

Highlights of Nuvepro’s GenAI workshops include: 

  • Interactive, Real-World Practice: Learners build and deploy generative AI applications in a secure sandbox, gaining direct experience with AI workflows. 
  • Comprehensive Curriculum: The hands on Gen AI workshops cover both foundational knowledge and advanced techniques, including natural language processing, image generation, and AI-based creativity tools. 
  • Flexible Learning Paths: Whether for beginners or experienced developers, Nuvepro’s Gen AI workshops are tailored to meet various learning needs, making GenAI approachable and effective for a broad audience. 

GenAI Skill Bundles: Building Versatile Expertise Across Domains 

Beyond workshops, Nuvepro offers carefully curated GenAI skill bundles, enabling learners to deepen their expertise in specific AI applications. These bundles are structured to address the growing demand for AI talent across industries, providing specialized training in areas like conversational AI, AI-driven content creation, and ethical AI practices. They also cater to diverse learning objectives, from rapid upskilling to mastery in advanced GenAI applications. 

Each skill bundle combines both structured modules and elective learning paths, allowing learners to build competencies aligned with their goals. Through Nuvepro’s GenAI skill bundles, learners can effectively: 

  • Upskill in Key AI Competencies: From creative AI to predictive analytics, learners gain expertise that aligns with real-world use cases. 
  • Develop Practical AI Applications: With hands-on practice and guided projects, learners can apply GenAI to address real business needs. 
  • Stay Updated with the Latest Innovations: Our skill bundles integrate recent advancements in GenAI, including text-to-image and multimodal models, ensuring learners are always at the cutting edge. 

Recent Advancements in Generative AI: Keeping Our Programs Updated 

To provide learners with the most relevant skills, Nuvepro continuously updates our programs to reflect the latest advancements in generative AI. Some of the recent breakthroughs include: 

  • Multimodal Capabilities: Generative AI now integrates text, images, and audio, enabling diverse applications from image captioning to video generation. 
  • Enhanced Text-to-Image and Text-to-Video Generation: These technologies have evolved, creating photorealistic visuals and promising initial results in video generation. 
  • Advanced AI-Assisted Coding: Coding tools powered by GenAI allow developers to code faster and more efficiently, making it possible for learners to work directly with tools used by industry professionals. 
  • Improved Conversational AI: With refined natural language capabilities, generative AI now supports more natural, context-aware interactions, essential for business applications and customer service. 

By incorporating these developments into our strategy, Nuvepro ensures that learners are equipped with skills relevant to the industry’s current needs and future possibilities. 

Ethical AI Practices: Privacy, Bias, and Transparency at the Core 

As generative AI reshapes industries, ethical considerations like data privacy, bias, and transparency are paramount. Nuvepro takes a multi-faceted approach to address these issues, building trust and integrity into every facet of our AI initiatives. 

  • Data Privacy: We use secure sandbox environments for learners to explore AI without risking data exposure. For external models, Nuvepro collaborates with trusted platforms like AWS and ensures that data is managed according to stringent privacy standards. 
  • Bias Mitigation: Recognizing that biases in AI models can impact real-world decisions, Nuvepro implements bias detection and correction techniques. We equip learners with tools and strategies to identify and reduce bias, fostering fair and equitable AI applications. 
  • Transparency and Accountability: Nuvepro is committed to transparency, openly sharing our data practices and model limitations with users. Our workshops and materials emphasize ethical considerations, enabling learners to approach AI responsibly. 

Our ethical AI approach reflects industry best practices, ensuring that learners not only gain technical expertise but also an understanding of the responsibility that comes with deploying AI technologies. 

Real-World GenAI Applications: Transforming Enterprises with Practical AI 

Generative AI is rapidly advancing across industries, from content creation to customer service and predictive analytics. Nuvepro’s GenAI initiatives prepare learners to bring this technology into their workplaces, ready to make an immediate impact. Some key applications include: 

  • Automated Content Creation: GenAI simplifies marketing by generating creative, on-brand content, allowing marketing teams to scale their efforts with ease. 
  • Product Prototyping and Design Automation: GenAI enables rapid prototyping, helping designers visualize products and streamline design workflows. 
  • Customer Service Optimization: With conversational AI, companies can improve customer experience, offering personalized interactions and reducing response times. 

Through Nuvepro’s hands on Gen AI workshops and skill bundles, learners gain practical experience with these applications, empowering them to be leaders in the integration of AI within their organizations. 

Best Practices for Organizations Adopting Generative AI 

For companies considering GenAI adoption, the key to success lies in a structured, ethical approach to deployment. Here are Nuvepro’s recommendations for an effective GenAI strategy: 

  1. Invest in Hands-On Training: Equip employees with real-world GenAI experience to build confidence and competence. Nuvepro’s hands-on labs are tailored to meet this need. 
  1. Define and Prioritize Use Cases: Identify specific business areas where GenAI can add the most value, such as content automation, customer interaction, or data analysis. 
  1. Foster Ethical AI Practices: Prioritize transparency, data privacy, and fairness in your AI approach. Nuvepro’s training emphasizes these aspects to ensure AI is used responsibly. 
  1. Embrace Continuous Learning: GenAI evolves quickly, and organizations must foster a culture of ongoing learning and adaptation to stay current and relevant. 

Empowering the Workforce: A Use Case of Nuvepro’s Generative AI Literacy Workshops 

In the rapidly evolving technological landscape, organizations are continually seeking innovative methods to enhance their workforce’s skills, ensuring both project readiness  and job readiness. Nuvepro, in collaboration with Amazon Web Services (AWS), has developed a series of Generative AI (GenAI) literacy workshops aimed at providing hands-on learning experiences. These workshops utilize advanced tools such as Amazon CodeWhisperer and AWS Bedrock, offering participants immersive sandbox environments to develop practical skills. 

The Challenge: Bridging the Workforce Skills Gap 

As technology advances, the demand for skilled professionals who can effectively leverage AI tools has surged. Traditional training methods often fall short in equipping employees with the necessary practical experience to tackle real-world challenges. Organizations face the pressing need to upskill their workforce to maintain competitiveness and drive innovation. 

Nuvepro’s Solution: Hands-On GenAI Workshops 

To address this challenge, Nuvepro designed a series of hands-on workshops focusing on Generative AI, in partnership with AWS. These workshops are structured to provide participants with practical experience, enhancing their technical skills and preparing them for real-world applications. 

Workshop Structure and Content 

  1. Introduction to Generative AI and Its Applications 
  • Overview of Generative AI concepts and their relevance in today’s technological landscape. 
  • Discussion on the impact of AI on various industries and the importance of AI literacy. 
  1. Hands-On Experience with Amazon CodeWhisperer 
  • Introduction to Amazon CodeWhisperer, an AI-powered coding companion designed to enhance developer productivity. 
  • Practical exercises where participants use CodeWhisperer to generate code snippets, streamline development processes, and improve code quality. 
  • Exploration of how CodeWhisperer assists with testing, debugging, and multi-step planning, making it an invaluable tool for software development and innovation.  
  1. Building Multimodal Chat Applications with AWS Bedrock 
  • Introduction to AWS Bedrock, a suite of foundational AI models provided by Amazon. 
  • Hands-on labs where participants build applications capable of processing and generating text, images, and other data forms. 
  • Understanding the integration of AWS Bedrock models in creating sophisticated AI-driven applications.  
  1. Developing Customized Applications Using Retrieval-Augmented Generation (RAG) 
  • Exploration of Retrieval-Augmented Generation (RAG) techniques that combine large language models with external data sources to generate accurate and contextually relevant outputs. 
  • Practical sessions where participants build applications that retrieve information from various databases and generate responses, enhancing the application’s overall intelligence.  
  1. Creating Personalized AI Assistants with AI Agents 
  • Guidance on designing and implementing AI assistants tailored to specific user needs. 
  • Utilization of Nuvepro’s sandbox environments for experimentation, allowing participants to build and test AI assistants in a controlled setting. 
  • Emphasis on tailoring AI assistant functionalities to match specific preferences, enhancing user experience.  

Tools and Technologies Utilized 

  • Amazon CodeWhisperer: An AI-powered tool that assists developers by providing intelligent code suggestions, streamlining the coding process, and enhancing productivity.  
  • AWS Bedrock: A suite of foundational AI models that enable developers to build and scale generative AI applications efficiently.  
  • Nuvepro’s GenAI Sandboxes: Secure, isolated environments that allow learners to experiment with AI tools and techniques without the risk of disrupting live systems, promoting a “fail fast, learn faster” mentality. Please check Nuvepro to know more. 

Outcomes and Impact 

The workshops have yielded significant positive outcomes: 

  • Enhanced Technical Skills: Participants reported a substantial increase in their ability to apply AI tools in real-world scenarios, improving both project and job readiness. 
  • Increased Productivity: The hands-on experience with tools like CodeWhisperer and AWS Bedrock enabled participants to streamline their workflows, resulting in increased efficiency. 
  • Innovation Encouragement: By working on real-world scenarios, learners were encouraged to think creatively and develop unique solutions to common challenges. 

Why Organizations Choose Nuvepro 

For enterprises looking to stay ahead in a competitive market, partnering with Nuvepro is a no-brainer. Here’s why: 

  • Tailored Skilling Solutions: Hands on learning programs designed to meet the unique needs of each organization. 
  • On-the-Job Training: Practical learning that aligns with real-world applications. 
  • Focus on Outcomes: Every session is designed to drive tangible results, from enhanced productivity to better project execution. 

The Path Forward: Nuvepro’s Commitment to Making Generative AI Accessible 

Generative AI is a transformative force, reshaping industries and creating new opportunities for innovation. At Nuvepro, our mission is to make this technology accessible, actionable, and ethical for learners and businesses alike. Through hands-on workshops, specialized skill bundles, and a commitment to ethical AI practices, we empower individuals and organizations to embrace GenAI with confidence and competence. Whether you’re looking to enhance your team’s capabilities or your own skills, Nuvepro’s generative AI programs offer the perfect launchpad into the future of AI. 

With Nuvepro, The Future of Learning Is Hands-On. 

As the tech landscape continues to evolve, the demand for skilled, project-ready employees will only grow. Nuvepro’s Generative AI workshops are paving the way for a new era of workforce skilling solutions, where learning isn’t just about acquiring knowledge but about applying it effectively. 

Are you ready to empower your team? Discover how Nuvepro’s hands-on learning solutions can transform your workforce and prepare them for the challenges of tomorrow. 

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Our Latest Posts

Job Readiness

Why Skill Validation Is the Missing Link in today’s Training programs 

In 2025, We’re Still Asking: Why Isn’t Learning Driving Performance?  Billions are being spent. Thousands of training programs are being launched every year. Yet here we are—facing a truth that’s too loud to ignore: learning isn’t translating into performance.  Let’s pause and reflect.  Have you ever completed a training, proudly received a certificate, and still felt unprepared for the real challenges at work? You’re not alone.  Despite major investments in learning platforms and certification programs, enterprises continue to face a fundamental challenge: turning learning into measurable capability. It is no longer sufficient to rely on a model where employees complete courses and organizations hope those skills translate into performance. This “train and hope” approach has crumbled in the face of increasing business complexity, fast-changing technologies, and pressure for real-time results.  Enterprises today are navigating a growing disconnect—the widening gap between upskilling and actual job readiness. While the number of training programs has increased, so has the frustration among team leads and hiring managers who realize, often too late, that employees are not ready to perform the tasks they were trained for. This gap is not just a training issue; it is a business risk.  According to Lighthouse Research & Advisory, only 16% of employees believe their skills are being developed for future success. This alarming figure comes despite organizations pouring record-breaking budgets into Learning & Development (L&D).  So where’s the disconnect? Why is the gap between learning and doing still so wide?  The High Cost of Skills Gaps  The urgency of solving this issue cannot be overstated. According to current projections, 85 million jobs may go unfilled in the next few years due to a lack of skilled talent. The estimated cost of this shortfall is a staggering $8.5 trillion in lost revenue globally. This is not a distant scenario but a rapidly approaching reality.  Surveys reveal that while a majority of organizations—around 83 percent—acknowledge having skills gaps, only 28 percent are taking effective steps to address them. The reasons behind this gap are complex, but three consistent challenges emerge across industries: visibility into real-time skill levels, mechanisms to validate whether learning has truly occurred, and the ability to act quickly based on skill readiness.  This lack of visibility, validation, and velocity is limiting the return on learning investments. More importantly, it’s hindering business agility in a world where time-to-skill is critical.  What Exactly is Skill Validation?  Let’s be clear—Skill Validation is not a buzzword anymore. It’s not just a new checkbox in the L&D strategy document.  It’s a paradigm shift—a change in how we approach talent development, assess readiness, and ensure that learning has real-world impact.  For far too long, training programs have been measured by inputs:  But the truth is, none of these guarantees job readiness.  You can complete ten courses on cloud computing and still struggle to set up a basic cloud environment. You can ace a leadership development program and still falter when managing your first real team crisis. Why? Because completing training doesn’t always equal competence.  Skill validation flips the narrative. Instead of asking:  “Did they finish the course?” We ask: Can they do the task in a real situation, or Can the person actually do the job when put in an actual project?  Skill validation helps in true learning by doing  There is a massive difference between knowledge acquisition and skill validation. It’s real practice that shows whether someone is truly ready.  Skill validation is not about learning in isolation—it’s about learning in context. It’s about immersing learners in real-life scenarios, simulated environments, and hands-on tasks that mirror the challenges they will face on the job.  What Does Skill Validation Actually Look Like?  Skill validation can take many forms, depending on the role, industry, and level of expertise. Like, for example,  In every case, the individual is not just recalling information—they’re applying it. They’re making decisions, solving problems, and adapting in real time.  This is the kind of learning that sticks. This is the kind of learning that builds confidence. And most importantly, this is the kind of learning that prepares people for the unpredictable nature of work.  Skill validation is:  It ensures your employees aren’t just trained—they’re trusted..  Why Skill Validation Is a Priority Now  The rapid advancement of technologies such as artificial intelligence, cloud computing, DevOps, and cybersecurity tools has shortened the shelf life of technical skills. Job roles are evolving so quickly that the lag between training and application can result in irrelevance. Moreover, threats such as security breaches or project failures demand instant readiness from employees, not a six-month wait to assess post-training performance.  In this context, relying solely on traditional learning models is no longer viable. Businesses need to know—immediately—whether a new hire is ready to deliver or whether an internal employee is prepared for the next level of responsibility. Skill validation addresses this need by offering evidence-based assurance of workforce capability.  Being “almost ready” isn’t enough in today’s fast-paced business landscape. Organizations need people who can deliver from day one. Project timelines are tight, customer expectations are high, and there’s little room for error.  This is why skill validation isn’t optional anymore—it’s essential.  It ensures your training efforts aren’t just about checking boxes. It ensures your workforce is not only engaged but equipped. It bridges the final and most important gap: from learning to performing.  Integrating Skill Validation Into the Learning Ecosystem  For organizations aiming to embed skill validation into their talent strategies, the approach involves three key steps:  Establishing Visibility: The first step is to identify current skill levels across roles. This requires tools that go beyond static self-assessments and instead gather real-time performance data from immersive, task-based activities.  Embedding Validation in the Learning Journey: Skill validation should not be a post-training activity. It should be integrated throughout the learning process—from initial assessments to final evaluations. This ensures that learning is anchored in outcomes, not just content completion.  Enabling Agility Through Continuous Feedback: With validated data on individual and team capabilities, organizations can respond faster—by tailoring interventions, accelerating project readiness, or rerouting resources

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Skill Taxonomy

Building a Skill Framework: Connecting the Dots Between Skills Taxonomy, Skills Ontology, Skill Families, and Skill Clusters 

In today’s fast-evolving workforce, skills have overtaken degrees and titles as the true currency of value. With emerging technologies, shifting business models, and a growing gig economy, what a person can do has become more important than what they have done. Organizations now collect immense amounts of data on employee skills through assessments, performance reviews, learning platforms, and certifications. However, most of this data sits in silos—unstructured, underutilized, and often outdated. The challenge isn’t the lack of skills data; it’s the lack of a structured way to activate it. Without a clear strategy to interpret, map, and apply this information, organizations miss out on smarter talent decisions, agile workforce planning, and meaningful upskilling paths. To truly unlock the full potential of your workforce, you need more than just a list of skills—you need a well-structured skills framework.  In this blog, we’ll walk you through how Skills Taxonomy, Skills Ontology, Skill Families, and Skill Clusters all fit together to build that structure. When used the right way, these tools can help you make sense of your skills data, close gaps, and prepare your teams for what’s next.  What Is a Skill Framework?  Imagine trying to build a house without a blueprint—or trying to manage your workforce without knowing what skills people actually have or need. That’s where a skill framework comes in.  In simple terms, a skill framework is a structured system that helps organizations identify, organize, and manage the skills of their workforce. It works like a map—clearly showing what skills are important for each role, how different skills are connected, and where the gaps are. Instead of treating skills like a random list, a skill framework brings order, clarity, and purpose to your talent strategy.  So, why does this matter?  For HR professionals, Learning & Development (L&D) teams, and talent managers, a skill framework is incredibly valuable. Without a structured view of skills, it’s hard to answer basic but important questions:  A skill framework helps answer all of these questions—and more. It becomes the foundation for smarter decisions across hiring, training, workforce planning, and career growth.  Let’s look at some of the major benefits:  First, it improves hiring. When you know exactly which skills are needed for each role, you can write better job descriptions, evaluate candidates more effectively, and reduce hiring mistakes.  Second, it enables personalized learning paths. Instead of giving everyone the same training, you can tailor learning to each employee’s current skill level and career goals. This not only boosts engagement but also speeds up skill development.  Third, it supports talent mobility. Employees often want to grow and move into new roles—but don’t always know what skills they need to get there. A skill framework shows them a clear path forward, helping them upskill and transition smoothly within the organization.  And finally, it powers better workforce planning. With a clear view of current and future skill needs, organizations can prepare ahead of time—whether that means training, hiring, or shifting roles internally.  In short, a skill framework turns scattered skills data into meaningful insights. It helps organizations not just understand their talent—but also shape it, grow it, and future-proof it.  Understanding the Building Blocks  Now that we know what a skill framework is and why it’s important, let’s break it down into its core building blocks. 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You might have a main folder called “Projects,” with subfolders for each client or team, and then specific files within each one. A skills taxonomy works the same way—but instead of files, you’re organizing skills.  Here’s how it typically looks:  This kind of structure helps you create a clear, searchable, and organized list of skills across your entire workforce. It brings clarity to what skills exist, where they fit, and how they’re connected to job roles.  Why Is a Skills Taxonomy So Important?  At Nuvepro, we’ve worked with many organisations that already have skill data—but it’s often scattered, inconsistent, or duplicated. 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People at Nuvepro

The Storyteller’s 3-year Journey  

Head of Marketing Shivpriya R. Sumbha, who recently completed 3 years at Nuvepro, looks back on her journey with grace, grit, and gratitude.  Questions curated by Anisha Sreenivasan 1. How has your journey at Nuvepro been since April 2022? Any moments that stand out as turning points or proud achievements?  Thanks, Anisha, for kickstarting the #PeopleAtNuvepro series—such a great way to reflect and share!  Since joining in April 2022, the journey’s been full of learning, growth, and quite a few “wow, we’re really doing this” moments. We’ve evolved so much—not just in what we offer, but how we think about the value we bring to the table.  There’ve been many initiatives that we’ve worked on, but for me, the proudest moments are when customers describe us not just for what we do, but for what we enable. When they see Nuvepro as a go-to for project readiness and skill validation—not just as a tool or a platform or divide our offerings and know us for 1 of it,  but as a true enabler of Project Readiness – When they get that without us having to spell it out—it feels like we’re doing something truly right. That kind of recognition hits differently. 2. You’ve played a huge role beyond just Marketing Campaigns, workshops, hackathons, even sales outreach. How do you manage to juggle it all so well?  Honestly, I don’t think it ever feels like we’ve “figured it all out”—and maybe that’s a good thing. There’s always more we can do, more ideas we haven’t explored yet, and that’s what keeps it exciting. We’ve done some great work as a team, no doubt, but I still feel like we’re only scratching the surface of what’s possible.  Marketing, especially in a tech-driven company like ours, often plays the role of the silent enabler. Most of the spotlight naturally goes to the tech—and rightfully so—but behind the scenes, it’s been amazing to see how strategic marketing efforts have quietly shaped the brand, created visibility, and opened doors we didn’t even know existed.  What I really hope to see in the coming days is Nuvepro being recognised not just for what we build, but how we’re building a brand that resonates—with customers, partners, and even within the team. We, are often attributed by the tech we create and not the way the brand has been overseen by the marketing efforts. Hopefully, we’ll see that day soon, too.   3. What was the most memorable event you worked on at Nuvepro-and what made it special? Of course, the first Nuvepro Project Readiness event was a huge success, and we all know it. That goes out to be my most memorable, and not because it was the first or because of the efforts put in. I was happy to know that the internal teams and management now know about the power of such event marketing strategies and how evidently they can bring us good connections. Striking that chord of confidence will always remain memorable.   4. As someone who built the marketing function from scratch here, what were your biggest challenges and learnings in the process? Initially the biggest hurdle was defining what marketing should look like in an enablement-driven, tech-first environment. There wasn’t a rulebook to follow—we had to experiment every few days on how we wish to be pursued.   One of the key learnings was that marketing doesn’t have to be loud to be powerful all the time. Most of the brands and projects that I had worked for were on unmatchable performance marketing budgets but with Nuvepro I learnt that sometimes, the most impactful work happens in the background—crafting the right narrative, building relationships, or simply bringing organic consistency to how the brand shows up. It took time to shift perceptions—from seeing marketing as just promotion to recognizing it as a slow go-getter. It has made me learn about the organic growths too which are often overlooked in Marketing.   5. You have hosted several workshops, hackathons and roundtable conferences. What excites you most about these events?  I guess connects and the post-event relationships that we build. We can simply set up a sales campaign or a PPC campaign and write sales ad copy, but we believe meeting someone and talking to someone establishes a much stronger relationship, and we aim to do just that. That excites me the most. The ability to network and build relationships through these events is truly good.  6. Beyond work, what are your go-to ways to unwind or recharge after a packed day of marketing magic?  Now, since life has changed a bit, I like to read less, watch cricket a little less, stream less and indulge more in other things like #apartmenttherapy as you may call. I try out multiple recipes, I garden a lot more, I clean a lot more and learn many more things that I had never tried before. I always did all this before, too, now, with a unique zest. It is therapeutic for me to be a house runner; I love it, and I don’t wish it any other way.    7. Looking back at your journey from 2022 to now, what’s one piece of advice you’d give your past self?  Haha just this one, “Your manager is a really good human first, and you will learn a lot, and you will have a great time in the coming few years, make the most of it, trust the process, don’t think you will not be able to survive 😊 ‘’   8. You’re always full of energy as your colleague’s mention-how do you do that? At a very early point of time in life I have realized, our happiness and mood is our own responsibility, So I TRY to be not very much affected by the external factors, people, challenges and try to be in the best of moods always and the other thing is obviously, I love the idea of being approachable and friendly as a person. I obviously only try.   9. And

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