tryBusinessAgility, a flagship of tryScrum. Our mission is to discover, preserve and distribute knowledge and capabilities to enable the next generation of organisations to be capable and resilient.

Contact Info

View Programs

AI certification course for Product Manager

Home – Executive Programs – Certifications

Get Your Brochure

2 Case Studies

Live Sessions

2 Assignments

Certificate of Completion

Course Overview

Product management has changed rapidly with the adoption of artificial intelligence across industries. Decisions once driven by intuition now rely on data, models, and continuous learning systems. Product managers are expected to understand how AI influences product discovery, prioritisation, delivery, and long term value. tryBusinessAgility’s AI for Product Manager certification course addresses this shift with a clear and structured learning journey.

 

The programme focuses on practical understanding of artificial intelligence from a product leader’s point of view. Instead of deep technical theory, the course explains how AI systems behave, how data affects outcomes, and how product managers guide teams working with machine learning and intelligent automation. Every topic connects directly to real product decisions faced in enterprises and growing organisations.
This course forms a key part of the Digital Transformation learning path. It supports professionals who already manage products and those preparing to move into AI focused product roles. The learning experience blends strategy, execution, and responsible use of AI, ensuring participants gain confidence in leading initiatives that rely on data driven intelligence.
tryBusinessAgility follows a results focused learning approach shaped by years of experience in agile delivery and enterprise change. Sessions rely on industry examples, structured frameworks, and guided discussions rather than slide heavy instruction. Participants work through realistic scenarios such as defining AI use cases, balancing feasibility with business value, and handling uncertainty during experimentation.

The programme also addresses challenges unique to AI products. Topics such as data dependency, model performance, bias, and regulatory awareness are explained in a way product managers can apply immediately. Participants learn how to ask the right questions, set realistic expectations with stakeholders, and guide teams through iterative learning cycles.
By the end of the AI for Product Manager course, participants gain a strong foundation to lead AI powered products with clarity. The programme prepares them to contribute meaningfully to digital initiatives, communicate effectively with technical teams, and align AI efforts with organisational goals. The learning structure suits professionals working in Indian and global environments, ensuring relevance across sectors and business models.

Who Should Enroll

The AI for Product Manager course is built for professionals who want to strengthen their product leadership skills in AI driven environments. The programme suits individuals across roles who influence product direction, delivery, and outcomes.

Product Managers and Product Owners

Product managers working on digital or data enabled products gain clarity on how artificial intelligence changes product thinking. The course supports professionals responsible for roadmaps, backlog prioritisation, stakeholder alignment, and value delivery. Participants learn how to evaluate AI opportunities, manage uncertainty, and lead discovery in products influenced by data and learning models. Product owners involved in agile teams also benefit from understanding how AI impacts sprint planning, acceptance criteria, and release decisions. The programme helps bridge the gap between business expectations and technical execution.

Senior Product Leaders and Heads of Product

Senior product managers, group product managers, and product leaders overseeing multiple teams gain strategic insight into AI adoption. The course supports leaders responsible for aligning AI initiatives with business strategy, managing risk, and guiding teams through change. Learning focuses on portfolio level thinking, governance awareness, and outcome driven measurement.

Business Analysts and Consultants

Business analysts, management consultants, and strategy professionals involved in digital transformation programmes gain product level understanding of AI systems. The course explains how to translate business problems into AI product opportunities and how to assess feasibility and value. Participants improve their ability to support product teams with clear analysis and informed recommendations.

Technology Professionals Moving into Product Roles

Engineers, data professionals, solution architects, and technical leads planning a transition into product management roles benefit from the product focused structure of the programme. The course explains how product managers think, decide, and communicate, while building on existing technical understanding. Participants learn how to move from solution execution to product ownership.

Entrepreneurs and Startup Founders

Founders building AI based products gain structured guidance on product discovery, validation, and scaling. The programme helps founders avoid common pitfalls related to overengineering, unclear value propositions, and unrealistic expectations from AI capabilities. Learning supports smarter product bets and clearer roadmap planning.

Professionals Supporting AI Initiatives

Programme managers, delivery managers, UX leads, and operations professionals working on AI initiatives gain context on product decision making. Understanding product priorities and constraints improves collaboration across teams and reduces delivery friction.

What Skills Will You Gain from This Course?

The AI for Product Manager course builds a balanced set of skills that combine product thinking, business judgment, and AI awareness. Each skill area supports real work scenarios faced by product professionals handling intelligent systems.

 

  • Strong AI Literacy for Product Context: Participants develop a clear understanding of artificial intelligence concepts relevant to product work. The course explains machine learning, supervised and unsupervised learning, natural language processing, and generative AI using practical examples. Product managers learn how models learn from data, why outputs vary, and how limitations affect product promises.This literacy helps participants ask better questions, set realistic expectations, and communicate confidently with technical teams and leadership.
  • AI Product Strategy and Use Case Identification: The programme builds skill in identifying where AI creates real value. Participants learn how to frame business problems, evaluate data readiness, and judge feasibility before committing resources. Structured frameworks guide decisions on which use cases deserve investment and which should remain ideas. Product managers gain confidence in linking AI initiatives with organisational goals such as growth, efficiency, customer experience, or risk reduction.
  • Data Informed Decision Making: AI products rely heavily on data quality and feedback loops. The course strengthens the ability to interpret metrics, understand data signals, and use insights to guide prioritisation. Participants learn how to define success metrics beyond traditional feature delivery, focusing on outcomes such as accuracy, adoption, and business impact. The programme also explains trade offs between speed, accuracy, and cost, enabling better release decisions.
  • Product Discovery and Experimentation Skills: Participants learn how discovery changes in AI driven products. The course covers hypothesis framing, experimentation cycles, and validation techniques suited for learning systems. Product managers gain skill in planning MVPs that test assumptions without heavy upfront investment. This approach supports faster learning and reduces risk during early product stages.
  • Collaboration Across Cross Functional Teams: The course builds strong collaboration skills with data scientists, engineers, designers, legal teams, and business stakeholders. Participants learn how to translate user needs into model requirements and how to interpret technical feedback into product decisions. Clear communication improves alignment and reduces misunderstandings during delivery.
  • Ethical and Responsible Product Thinking: Participants gain awareness of ethical concerns linked with AI products. Topics include bias, fairness, privacy, explainability, and regulatory expectations relevant to Indian and global markets. Product managers learn how to include responsibility checks within product planning and review processes.

Program Highlights

The AI for Product Manager course is structured to support meaningful learning and immediate application at work. Each highlight reflects tryBusinessAgility’s focus on capability building and professional relevance.

Sessions are facilitated by experienced practitioners who have worked on real digital and AI initiatives. Faculty share insights drawn from enterprise and product organisations rather than academic theory. Discussions reflect challenges faced during delivery, stakeholder alignment, and change adoption, giving participants a realistic view of AI product work.

Learning relies on scenarios inspired by industries such as banking, fintech, ecommerce, telecom, healthcare, and SaaS. Participants examine how AI supports fraud detection, recommendation systems, customer support automation, and decision intelligence. These examples help connect learning with everyday product responsibilities.

The programme avoids one way instruction. Sessions include guided discussions, group activities, and structured reflection. Participants actively analyse problems, debate options, and learn from peer experiences. Interaction helps deepen understanding and retain concepts.

Every module links AI capabilities with business outcomes. Participants learn how to measure success beyond technical performance by focusing on user impact, adoption, and value creation. This outcome driven view supports stronger stakeholder conversations and prioritisation decisions.

tryBusinessAgility uses clear frameworks to explain product discovery, strategy, and delivery in AI contexts. Frameworks help participants structure thinking, make decisions faster, and communicate clearly across teams. These tools remain useful long after the programme ends.

Ethical and responsible AI considerations are integrated across the programme rather than treated as a separate topic. Participants learn how to identify risks early and include safeguards during product planning and reviews.

Participants work on a realistic AI business scenario relevant to their role or organisation. Faculty feedback helps refine thinking and decision making. The exercise connects learning directly with workplace application.

The programme schedule supports professionals managing full time roles. Live online sessions, recordings, and structured assignments allow participants to balance learning with work responsibilities without pressure.

Flexible delivery options accommodate working professionals. Session schedules respect professional commitments while maintaining depth and continuity in learning.

Curriculum Overview

The curriculum of the AI for Product Manager course follows a clear progression from fundamentals to applied product leadership. Each module builds understanding step by step, ensuring participants gain confidence before moving to advanced topics.

  • Foundations of Artificial Intelligence for Product Managers: The programme begins with a practical introduction to artificial intelligence from a product perspective. Participants learn what AI means in business settings and how it differs from traditional software systems. Concepts such as machine learning, rules based automation, and learning systems are explained using everyday product examples. This module helps product managers understand where AI fits within digital products and where it does not, avoiding unrealistic expectations.
  • Understanding Data and Model Behaviour: Data plays a central role in AI products. Participants learn about different data types, data sourcing, and data quality considerations. The course explains how models learn, why performance changes over time, and how bias can enter systems. Product managers gain clarity on model lifecycle basics including training, validation, deployment, and monitoring. This knowledge supports better planning and stakeholder communication.
  • Identifying and Validating AI Product Opportunities: This module focuses on opportunity discovery. Participants learn how to identify problems suitable for AI solutions and how to assess feasibility before investment. Structured methods support evaluation of data availability, business value, and operational impact. Product managers practice turning vague ideas into clear problem statements that teams can act upon.
  • Product Discovery for AI Driven Solutions: Discovery looks different for AI products due to uncertainty and learning cycles. The course explains how to run experiments, test assumptions, and define MVPs that focus on learning rather than feature completeness. Participants learn how to balance user needs with technical constraints while validating value early.
  • AI Product Strategy and Roadmap Planning: This module focuses on long term planning. Participants learn how to define vision for AI products, align initiatives with organisational goals, and build adaptive roadmaps. Emphasis remains on outcomes, learning milestones, and decision checkpoints. Product managers gain tools to manage change without losing direction.
  • Working with Cross Functional and AI Teams: Collaboration sits at the centre of AI product success. The course explains roles and responsibilities within AI teams and how product managers coordinate efforts. Participants learn how to translate business needs into inputs data teams can use and how to interpret technical feedback into product choices. This module improves alignment and reduces friction during delivery.
  • Ethics, Governance, and Responsible AI: Participants explore ethical concerns related to AI products, including bias, fairness, transparency, and privacy. The course explains governance expectations and regulatory awareness relevant to Indian and global contexts. Product managers learn how to include responsibility checks during planning and review stages.
  • Measuring Success and Scaling AI Products: The final module focuses on measurement and growth. Participants learn how to define metrics that reflect both model performance and business impact. Topics include monitoring drift, continuous improvement, and scaling from pilot to enterprise use. By the end of the curriculum, participants gain a complete view of AI product management from idea to scale.

Why Choose tryBusinessAgility

Choosing the right learning partner plays a critical role in building real capability. tryBusinessAgility stands apart

 through its experience, learning philosophy, and commitment to practical outcomes.

Learning Led by Practitioners
tryBusinessAgility programmes are led by professionals who have delivered products, platforms, and transformation initiatives in real organisations. Faculty bring experience from banking, payments, telecom, product companies, and large scale digital programmes. Learning stays grounded in reality rather than theory. Participants benefit from honest insights into what works, what fails, and why decisions matter in live environments.
Focus on Capability and Application
tryBusinessAgility places strong emphasis on applying learning at work. Sessions are structured to help participants connect concepts with ongoing projects. Assignments and discussions reflect challenges professionals already face, making learning relevant from day one. The programme avoids information overload and instead builds confidence through structured practice.
Strong Foundation in Agile and Digital Transformation
tryBusinessAgility has deep roots in agile delivery and digital transformation. This background influences how AI product management is taught. Participants learn how AI fits within iterative delivery, feedback loops, and adaptive planning rather than rigid project models. This approach supports sustainable change across teams and organisations.
Trusted by Organisations Worldwide
tryBusinessAgility has partnered with more than 100 organisations across industries and regions. Clients range from growing startups to established enterprises. This exposure allows programmes to reflect diverse organisational realities and maturity levels.
Global Alumni Network
Participants join an active alumni community spanning 24 countries. The network supports peer learning, knowledge sharing, and professional connections beyond the programme. Alumni often continue discussions and collaborate long after completion.
Respect for Working Professionals
tryBusinessAgility designs programmes with working professionals in mind. Clear schedules, focused sessions, and structured materials support effective learning without unnecessary pressure. Participants receive timely support from faculty and programme teams throughout the journey.

Choosing tryBusinessAgility means investing in a learning experience that supports clear thinking, confident leadership, and sustained organisational progress.

Certification and Course Outcome

The AI for Product Manager course concludes with a recognised certification that reflects applied learning and professional capability. The certification signals readiness to contribute to AI driven product initiatives with clarity and responsibility.

AI Certification for Product Manager:

Participants who complete the programme requirements receive an AI Certification for Product Manager issued by tryBusinessAgility. The certification validates understanding of AI concepts, product strategy, discovery practices, and ethical awareness from a product leadership perspective.
The credential reflects practical engagement rather than attendance alone. Completion includes participation in sessions, structured assignments, and application of frameworks discussed during the programme.

Demonstrated Product Capability:

Participants complete exercises that mirror real product challenges. These activities help demonstrate ability to identify AI use cases, evaluate feasibility, define success metrics, and plan delivery. The outcome shows readiness to apply learning in workplace settings.Product managers gain confidence to lead discussions with leadership, technology teams, and external partners.

Career and Role Impact:

Graduates of the programme report improved clarity in handling AI related responsibilities. The certification supports career growth in roles such as AI product manager, senior product manager, digital product lead, and transformation manager.
Professionals also gain stronger positioning during internal role transitions and external opportunities where AI exposure is expected.

Organisational Value:

Employers benefit from product leaders who understand both opportunity and risk in AI adoption. Certified participants contribute to better decision making, clearer roadmaps, and more responsible product outcomes.
The certification aligns with tryBusinessAgility’s focus on building capability that supports organisational resilience and long term value creation.

  • Certificate Title: AI & Digital Transformation Strategist
  • Issued by: tryBusinessAgility
  • Format: Digital and printable PDF
  • Authentication: Includes unique ID for online verification

Continued Learning Path:

The programme also serves as a foundation for advanced learning within tryBusinessAgility’s digital and AI education pathways. Participants can continue skill development through related programmes in AI strategy, business transformation, and leadership.

Earn Your Badge

Upon successful completion of the AI & Digital Transformation Strategist program, participants receive a digital badge in addition to the official certificate. This badge serves as a visual credential that represents your verified skills and strategic knowledge.

Where You Can Use the Badge

  • Add it to your LinkedIn profile under certifications
  • Share it on social media or email signatures
  • Display it on your resume or personal website

The badge is issued through a secure digital platform, making it easy for employers and peers to verify your achievement instantly. It helps you stand out in job applications, internal promotions, and client-facing roles.

Program Format and Duration

The AI for Product Manager course is structured to fit the schedules of working professionals while maintaining depth of learning. 

The format balances live interaction, reflection, and application.

Learning Format

The programme is delivered through live instructor led online sessions. These sessions encourage discussion, questions, and peer interaction. Faculty guide participants through concepts using real examples and structured frameworks rather than long presentations. Each session includes time for reflection and dialogue, allowing participants to relate learning to their own work contexts.

Session Structure

Sessions follow a clear flow. Faculty introduce key concepts, share practical examples, and guide group discussions. Participants engage in activities such as scenario analysis, prioritisation exercises, and decision making tasks. This structure keeps learning active and relevant. Assignments between sessions support deeper understanding and practical application.

Programme Duration

The course typically runs for eight to ten weeks, depending on the cohort plan. This duration allows participants to absorb concepts gradually without disrupting professional commitments. Session frequency is designed to support continuity while giving enough time for reflection and application.

Time Commitment

Participants can expect a manageable weekly commitment. Live sessions usually occur on weekends or weekday evenings to support working schedules. Additional time is allocated for reading, reflection, and assignments. Clear expectations help participants plan learning alongside work responsibilities.

Learning Resources and Support

Participants receive access to curated learning materials, session recordings, and structured templates. These resources support revision and ongoing reference after programme completion. Faculty remain accessible for guidance during the programme, helping participants clarify doubts and apply learning effectively.

Learning Environment

The online delivery format supports participation from different locations while maintaining strong interaction. Breakout discussions and collaborative activities ensure engagement throughout the programme. This structure allows professionals to learn deeply without the need for travel or extended time away from work.

Corporate and Team Training Option

Organisations adopting artificial intelligence often face gaps in product understanding across teams. tryBusinessAgility offers corporate and team 

training options for the AI for Product Manager course to support structured capability building at scale.

Corporate programmes focus on aligning product teams with organisational AI goals. Training supports common understanding of AI capabilities, product responsibilities, and decision making frameworks. Teams learn how to evaluate opportunities, prioritise initiatives, and deliver outcomes with clarity.
This shared learning approach reduces misalignment and speeds up adoption.

The corporate option suits product managers, product owners, business analysts, engineering leads, design teams, and programme managers working on AI initiatives. Cross functional participation improves collaboration and shared language across roles.
Leadership teams also benefit from strategic modules focused on governance, measurement, and long term planning.

tryBusinessAgility adapts programme content based on organisational needs. Customisation may include industry specific examples, internal product scenarios, and alignment with existing delivery models. Session depth and emphasis can vary based on team maturity and objectives.
Custom schedules support global and distributed teams.

Corporate training can be delivered through live online sessions or blended formats. Closed cohorts ensure focused discussions around internal challenges. Faculty facilitate conversations that respect organisational context and confidentiality.

Organisations experience clearer product ownership, improved decision making, and stronger alignment between AI investments and business value. Teams gain confidence to experiment responsibly and scale solutions with purpose.

Organisations begin with a discovery conversation to understand goals, team structure, and timelines. tryBusinessAgility then proposes a learning plan aligned with business priorities.

Meet Your Faculty

Dr. Venkatesh Rajamani

Venkatraman brings deep experience in delivering working software through short, feedback-driven cycles. His professional journey spans large banking, payments, telecom, and product organisations where digital initiatives operate under strict regulatory, operational, and scale constraints.
As a PhD scholar at Girne American University, his academic work complements hands-on delivery experience. His sessions focus on how managers influence outcomes through decision-making, prioritisation, and leadership behaviour. Participants benefit from clear explanations of agile delivery, platform thinking, and execution discipline from a business leadership viewpoint.
Venkatraman supports managers in understanding how technology teams work, how delivery risks emerge, and how leadership actions either accelerate or slow progress. His teaching style emphasises clarity, accountability, and practical insight.

  • Areas of Expertise: Agile Transformation, AI Strategy, Business Agility
  • Industry Experience: Banking, Telecom, Payments, Software
  • Teaching Style: Case-based, application-driven, highly interactive

Arunvignesh Ramakrishnan

Arunvignesh Ramakrishnan is a trainer and leadership coach who works closely with teams and organisations to build capability and resilience. His work focuses on leadership behaviour, team dynamics, and organisational learning during periods of change.
In this programme, Arunan brings strong focus on people aspects of digital initiatives. Participants explore how communication, trust, and leadership presence influence adoption and performance. His sessions help managers recognise patterns of resistance and respond with confidence and empathy.
Arunvignesh Ramakrishnan’s coaching background ensures that learning remains reflective and action-oriented. Managers gain tools to support teams through uncertainty while maintaining accountability and performance.

  • He has coached teams across industries including banking, telecom, healthcare, and IT services.
  • Known for his engaging and outcome-focused facilitation style, Arunvignesh Ramakrishnan helps professionals connect theory to practice through clear examples and interactive learning.
  • He is passionate about helping organisations become capable and resilient through people-centered innovation.

Program Pricing and Enrollment

AI & Digital Transformation Strategist

₨16185
₨ 12900 *Limited Seats Only
  • Date: 29 Nov, 2025
  • Time: 10.00 AM to 5.00 PM IST
  • Mode: Virtual Online
  • Trainer: Dr. Venkatesh Rajamani
Enroll Now
Weekend

The pricing and enrollment process for the AI for Product Manager course is designed to be clear, supportive, and flexible for professionals and organisations.

Programme Pricing

  • The programme fee reflects the depth of learning, practitioner led delivery, and ongoing faculty support. Pricing may vary based on cohort size, delivery format, and corporate participation. Special consideration is often available for early registrations, group enrollments, and corporate sponsorships. Detailed pricing information is shared by the programme advisory team during the enrollment conversation.

What the Fee Includes

  • The programme fee covers live instructor led sessions, access to curated learning materials, structured assignments, and session recordings. Participants also gain access to templates, frameworks, and reference resources used during the programme. Ongoing faculty guidance and peer learning opportunities form part of the learning experience.

Enrollment Steps

  • Submit an enquiry or registration request through the official channel.
    Connect with a programme advisor to discuss learning goals and suitability.
    Confirm cohort availability and schedule.
    Complete registration and payment.
    Receive onboarding communication with session details and preparation guidance.

Payment Options

  • Multiple payment modes are supported to suit individual and organisational needs. Programme advisors share available options during enrollment discussions. Invoicing support is available for corporate and sponsored participants.

Pre Programme Onboarding

  • Once enrolled, participants receive clear onboarding instructions. Communication includes programme schedule, access details, and preparation guidance. This step ensures participants enter the programme with clarity and confidence.

Support Throughout the Journey

  • The tryBusinessAgility support team remains available throughout the enrollment and learning journey. Participants receive timely responses to queries related to scheduling, access, and learning resources.

Reviews

Sascha Guenther
Director, Global Tech Firm

Great introduction to Design Thinking.

We had a great group with lots of good energy and our Coach Venkatesh guided us through the session with great enthusiasm and passion for the topic.

Highly recommended!

  • April 26, 2025
Ashok Kumar Kanuparthi
Strategy Lead, Regional Enterprise

It was a wonderful session.

It was a wonderful session. I gained more insights on design thinking. The agenda was well planned. It would have been more exciting had been in-person training. Many a thanks to the trainer Mr. Rajamani.

  • February 01, 2025
Isai Venthen Ramaiah
Agile Coach, Telecom Sector

Design Thinking Professional Workshop

Design Thinking Professional Workshop is interactive and activity filled. Trainer Venkatesh Rajamani has diversified knowledge on business and technology domains . It’s helpful to leverage my business knowledge ! Thanks team tryBusinessAgility !

  • January 23, 2024
Rajeswari Radhakrishnan
CTO, Healthcare Solutions Provider

Digital Transformation from trybusinessagility

I had the opportunity to take up the Digitial Transformation Foundation course from TryBusinessagility. The course covered all the fundamentals of Digital transformation. The case studies presented by them were very helpful. The coaches had extensive knowledge on the subject which was very evident from the way the course was taught.If you are thinking of Digital Transformation for your organization and want to know the success pillars then I would highly recommend this course.

  • August 23, 2024
Vignesh brb
Director, Global Tech Firm

Design Thinking - Is a Strong Common Sense

Thanks to my trainer Venkatesh Rajamani. It was extremely engaging with a perfect mix of theory, real-time stories, and many Break out sessions to actually "Think". I have always thought that design thinking is for designers in the market. However, this workshop shaped my thinking perspective. More than a skill, I became confident in "How to think" and bring a solution with Empathy. Loved it.

  • December 22, 2024
Manoj Sharma Manish
Customer Experience Manager, Retail Group

Design Thinking Professional

I had great learning from Trybusinessagility on Design thinking with Venkatesh Rajamani. His real-time examples and the way he taught each module of the workshop helped me gain knowledge on how to tackle wicked problems and how design thinking can help solve problems and provide solutions to unclear problems. I would strongly recommend Trybusinessagility and it can be a game changer for your career.

  • December 22, 2024

FAQs

The programme is open to managers, team leads, functional heads, consultants, founders, and senior professionals who influence business decisions. No technical or coding background is required.

No prior technical or AI background is required. The program explains concepts using business language and leadership frameworks.

No prior AI knowledge is expected. The course begins with fundamentals explained in business language and builds understanding gradually.

Participants who complete the programme receive an official certification from tryBusinessAgility recognising managerial readiness for AI initiatives.

Yes. Corporate and team training options are available with aligned delivery and industry specific discussions.

The course runs over several weeks with sessions scheduled to suit working professionals. Exact timelines are shared during enrollment.

The certification does not have an expiry date and reflects completed learning outcomes.

Participants gain access to alumni engagement, peer learning, and continued guidance beyond the programme duration.

Yes. Responsible AI, data ethics, and leadership accountability form an important part of the curriculum.

The admissions team offers guidance through consultation calls or email to help applicants make informed decisions.

If you have any additional questions, our admissions team is available to assist before, during, and after enrollment.