This could mean annotating images, tagging text, or marking up audio files. The precision of your labels equates to the clarity of the signals you send to your AI during its learning phase. The salary of an Senior Product Manager (AI product) job AI product manager ranges from approximately INR 23 lakhs to 31 lakhs per year.
Understand Artificial Intelligence
Google Analytics and Mixpanel are tools for product analytics, where KPIs can be tracked, visualized and pulled from. User behavior can be collected and analyzed with tools such as Hotjar and Visual Website Optimizer. We have tons of carefully curated interview resources that you can use to enhance your preparation and bag the role. Our Master of Science in Machine Learning & AI program offers 12 case studies, 11 coding assignments and ten capstone projects to choose from. At upGrad, we offer a Master of Science in Machine Learning & AI program with Liverpool John Moores University and International Institute of Information Technology Bangalore.
Advocate for AI within your current role
Senior product managers lead product managers, create a product strategy and supervise all stages of the product development process. Key skills include a deep understanding of AI, machine learning, data analysis, project management, and market research. Developing AI products requires a thorough understanding of AI and Machine Learning concepts.
- Seeking feedback and advice will help you identify your gaps, strengths, and opportunities, as well as learn from others’ experiences and insights.
- Notion AI, Jira AI, and ClickUp AI help with task automation, roadmaps, and analytics, while ChatGPT and Copilot assist with ideation, user insights, and decision-making.
- To reach the level of a product manager, one needs to possess skills that enable them to tackle various challenges and demonstrate visionary leadership effectively.
- Start with a solid educational background in computer science, machine learning, or a related field.
- This program teaches you all the necessary skills and concepts to become an AI professional.
- Networking with industry professionals and seeking roles in tech companies where you can work closely with AI teams can also pave the way.
F. Data Analytics and Visualization:
Remember, your goal isn’t necessarily to become an expert coder or data scientist, but rather to have enough technical knowledge to manage AI products effectively. You should aim Computer programming to learn about key concepts such as neural networks, natural language processing, reinforcement learning, and deep learning. Remember, training is but one phase in the lifecycle of AI product development. Keep sight of the broader horizon — the deployment, the user experience, the problem you set out to solve.
