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Artificial Intelligence in - Accounting

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Objectives

Product managers today sit at the intersection of innovation and execution, and AI opens new opportunities to rethink how products are built and delivered. This course demonstrates how AI can shape roadmaps, enhance customer insights, and enable rapid prototyping with minimal friction. The focus is on helping product managers turn AI into a driver of smarter decisions, competitive features, and more adaptive product strategies.



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Course Outcome

Drive AI-enabled innovation to shape compelling, future-ready product roadmaps. Identify, design, and launch AI-powered product features that exceed user expectations. Rapidly prototype AI concepts and validate with real user feedback. Collaborate effectively with AI engineering teams to bring concepts to life. Measure and optimize AI product impact with data-driven metrics. Lead product governance with strong ethical and privacy principles.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Contact Us
Ready to get started?
Let's chat.
info@mazenetsolution.com +91 9500929297
          +91 7397723052
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Get Started Today

Course Preview

  • Explore how AI is revolutionizing product innovation and market trends.
  • Shift mindset from traditional methods to AI-driven product management.
  • Spot AI opportunities throughout the product lifecycle.
  • Analyze customer feedback and feature requests with AI.
  • Use AI tools to study market and competitors.
  • Prioritize features using AI-driven scoring.
  • Plan roadmaps with tools like Productboard and Aha!
  • Track real-time product metrics and customer signals.
  • Identify product features that AI can enhance (recommendations, automation, personalization).
  • Define ML-powered features with input-output-feedback loops.
  • Collaborate effectively with AI/ML teams on user stories and specs.
  • Use design thinking to discover AI feature ideas.
  • Balance feasibility, usability, and model reliability.
  • Leverage no-code/low-code AI prototyping tools like OpenAI Playground and Replit.
  • Rapidly test AI feature ideas using LLM APIs such as ChatGPT and Claude.
  • Build and test user flows for AI-powered user experiences.
  • Use AI tools like Uizard and Figma AI for wireframing.
  • Hands-on: Build a working AI-enhanced MVP or feature demo.
  • Measure AI feature performance with metrics like accuracy, confidence, and engagement.
  • Use feedback loops and retraining for continuous improvement.
  • Conduct A/B testing on AI-powered features.
  • Monitor AI features with observability tools.
  • Promote transparency and explainability for end-users.
  • Ensure privacy, compliance, and responsible AI use.
  • Set guardrails against bias, hallucinations, and misuse.
  • Understand legal implications of generative AI interfaces.