Enterprise AI Product Management & Development Bootcamp

Let's Face it:  The startup era is fading. The future of AI belongs to the enterprise and government.

Learn how to manage and build AI products where real adoption, scale, and career growth happen. 

The role of Enterprise AI Product Manager is becoming one of the most in-demand professions in 2025 and beyond, driven by the accelerating integration of AI technologies across various industries. 

Enterprise AI Product Management is essential today because large organizations are investing heavily in AI to optimize operations, personalize experiences, and drive innovation at scale. 

Unlike startups, enterprises offer vast datasets, structured processes, and real-world deployment challenges—making them the perfect environment to build impactful, production-grade AI solutions.

Learning how to manage AI in an enterprise setting equips you with the skills to lead cross-functional teams, align AI initiatives with business goals, and deliver scalable, compliant, and ROI-driven products—skills that are in high demand across industries like healthcare, finance, smart cities, transportation,  logistics, and beyond. 

✅ AI powers the new levels of functionality and user experience of the products using personalized recommendations, demand forecasting, computer vision to predictive maintenance.

✅ Product Managers who understand AI can design and manage products that give their companies a competitive edge, business effectiveness and productivity.

✅ Product Managers need to be aware of AI ethical concerns so as to be able to design products that are responsible and trustworthy.

💔 Product Managers without AI knowledge will be disadvantaged at limited career opportunities when applying for jobs.

💔 Your products will fall short of their potential and fail to compete with AI-powered alternative products.

💔 You'll miss out on the exciting wave of innovation that AI is driving across industries.

Enterprise AI Management and Development Bootcamp will give you the skills and knowledge to build real-world AI and Data products. 

✅ Mastering enterprise AI product management end development in just six weeks

✅ Equipped with the skills to define, design, and manage cutting-edge AI solutions development.

✅ Learning experience in building and managing AI-driven products effectively, combining technical foundations, user-centered design, and validating AI applications.

✅ Create your own AI MVP products with AI Code Editor like Replit and Tensorflow.

✅ Understanding AI lifecycles such as MLOps and LLMOps.

✅ Access to various examples of enterprise AI products, mostly unknown to the public.

• Background Diversity: Unlike typical instructors with experience focusing only on big tech companies, Adhiguna boasts a rich background in industries such as Smart City (Otorita Ibukota Nusantara), Oil & Gas (Schlumberger), manufacturing (Vallourec SA), aviation (Garuda Indonesia Airlines), and B2B eCommerce (Ralali), enriched with tech startup experience, especially in Computer Vision and Analytics (Nodeflux, Flight Focus).  
• Broad Career Spectrum: His career spans from engineering to C-level positions across operations, engineering, business, and product management, providing a breadth of insights and perspectives as a product builder and user.
• Exit Success: Adhiguna is an industry practitioner with several startup exits, highlighting his "skin in the game" experience in the field.
• Authorship and Academia: He authored the best-selling "AI Startup Strategy" and has written extensively on Deep Learning and Computer Vision. Additionally, he teaches machine learning and enterprise architecture at various universities, sharing his deep knowledge and expertise in technical subjects.
• Product Developer and User:  Unlike typical Product Management instructors with backgrounds solely in product development, Adhiguna Mahendra brings a crucial and convincing advantage: direct experience as a decision-maker and user of Smart Systems within both government and enterprise sectors. This unique perspective allows him to understand products not just from the lens of creation, but also from the critical viewpoints of the end-user and the individuals responsible for making strategic adoption decisions. This holistic understanding provides invaluable insights that purely development-focused instructors often lack. 

• Product managers currently working in tech startups are looking to leverage AI for innovative product development.
• Product managers operating within larger enterprises who aim to integrate AI technologies into their product lines for enhanced performance and customer satisfaction.
• Data scientists interested in transitioning into product roles, keen on applying their technical skills to drive product strategy and development.
• Founders and entrepreneurs eager to infuse their products with AI capabilities, aiming to scale their businesses and stay competitive in the rapidly evolving tech landscape.

• Week 1: Dive into the essentials of AI product management, exploring AI product definitions, examples, business models, and calculating ROI.
• Week 2: Build foundational knowledge in data concepts, AI models, algorithms, and AI agents.
• Week 3: Focus on user-centered AI design, including UX research, human-AI interaction, personalization, and data-driven optimization.
• Week 4: Learn the ropes of market validation and MVP (Minimum Viable Product) development with AI-Code Editor, then interview and validate MVPs with users.
• Week 5: Deepen understanding in AI product development lifecycle, including MLOPs and LLMOps. 
• Week 6:  Final Presentation where the student presents business plans and AI Product MVP.

Abul Khair, Product Manager, CakeResuI was quite shocked because the knowledge gap was pretty significant. Thankfully, at that time I was enrolled in Adhiguna's AI Product Management bootcamp. Honestly, it was really helpful for someone like me who had never been involved in AI before. He taught the product management part from the basics and in a quite general manner, so I feel it can be implemented by PMs from any industry as well. Thank you so much for the knowledge."

Hamidah Syahrir-Senior Product Manager, Liminal.  

"As a product manager at a company that implements AI for the development of a verification system, it is imperative not only to possess knowledge regarding AI strategy in business implementation but also to understand the application of AI that allows for performance monitoring against anomaly patterns.

What distinguishes this course from others is the integrated combination of business and technical knowledge. During the course, we learned how to validate AI products for market adoption to align with market expectations and established a strong foundation in operational machine learning, including the explainability of an AI model."

Arin Siska-Senior Product Manager, Vida

"As a product manager overseeing AI products, a deep understanding of AI product management is crucial for success. This course has been an invaluable resource for me, providing essential insights and strategies to ensure the products I manage can harness the full potential of AI while effectively addressing user needs. The course content is not only comprehensive but also tailored to the specific challenges faced by AI product managers. "

Indra Nugraha, Senior Product Manager, Mekari 

"AI product development course was a truly enlightening journey that expanded my knowledge and understanding of the vast applications of artificial intelligence. The well-structured curriculum provided a comprehensive overview of machine learning, data preprocessing, and the deployment of AI models based on cases provided. Engaging in practical projects was particularly valuable as it allowed me to translate theoretical knowledge into real-world solutions. One of the most gratifying aspects of the course was the collaborative project with industry experts to develop an AI-powered detection object system for surveillance and defense. The guidance and mentorship provided by the instructors were invaluable in refining our approach and achieving tangible results. This experience not only honed my technical expertise but also underscored the transformative potential of AI in optimizing industrial operations. "

 Rizky Munggaran, AVP AI&Machine Learning, Indosat 

"The AI Product Management material coached by Adhiguna opened up new horizons and perspectives from a different side. Technical matters were delivered perfectly, making them very easy to understand. The combination of knowledge and experiences truly produced a systematic way of thinking and ultimately had a significant influence on me in viewing a product development process."  

Ali Rahman, Founder, wefly.id

 "The AI Product Management BootCamp was hands down one of the most impactful learning experiences I've ever had! It felt like diving into a fast-paced Master's program, with a flood of new and cutting-edge knowledge. The coaching was exceptional, especially from Adhiguna Mahendra, whose deep experience truly shone through. For anyone looking to level up their entrepreneurial skills, learn how to build groundbreaking AI products, or simply stay ahead in the dynamic world of AI product development, I can't recommend this bootcamp enough. Make sure you catch the next batch! In the meantime, please wish me luck as I navigate my ambitious project! "

Mark Swapo, Product Manager, Bank Central Asia Digital

"Adhiguna has deep knowledge and experience on Al apps, he knows how to set up from zero to become a commercial app. I am deeply grateful for his guidance, which was instrumental in the development of my new AI business."    

Henry Hanafiah, President Director, Willis Towers Watson Indonesia 

"Very insightful with tons of experiences. In spite of not having a technical background, I can enjoy learning Al here. The material was already good, Adhiguna already explained examples of Al applications. "

 Okkytania E.P, Product Management & Business Development, PT Busan Auto Finance 

 "The instructor is very skilled not only from a business perspective, but also technically. "

 Sisi Florensia, Product Manager, MagLoft 

"Adhiguna is very humble and insightful with all the experience combined by tech in Al expertise, such an honour and opportunity to join this AI Product Bootcamp."

 Andy Hartanto, Cloud Support Engineer, Xsolla 

" I am very satisfied with the AI Product Management course. The course was very helpful for me to understand the MLOps process and development for both Machine Learning and AI products. This course has also equipped me to work as a product manager in a big data and Machine Learning company in Singapore." 

Abul Khair, Product Manager, CakeResume