Learn how to leverage AI & Automation in Product with our free Ai for Product course. Discover innovative strategies and tools to optimize your product development process. Enroll now!
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Get certified upon course completion and supercharge your career journey.
1. Utilizing Artificial Intelligence in Product Management
Guidance on leveraging AI technologies like machine learning, natural language processing, and computer vision for effective product management and customer service.
2. Collaboration with Data Science Teams:
Insights on the importance of working closely with data science teams to understand algorithms and effectively implement AI technologies into products and services.
3. Addressing AI Implementation Challenges:
Strategies for overcoming challenges such as acquiring quality training data, model monitoring, and ethical considerations when integrating AI solutions into business processes.
Examples showcasing AI applications in areas like fraud detection, supply chain management, chatbots, sales forecasting, and personalized customer service to illustrate diverse business use cases.
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Product Managers
Data Science Teams
Customer Service Managers
AI Developers
Business Executives
Chapter 1
An overview of AI and automation, explaining how these technologies are transforming product management. Highlights the importance of collaborating with data science teams and engaging stakeholders across engineering, design, business, and legal when building AI products.
Chapter 2
The discussion covers several challenges AI product managers face including obtaining quality training data, complexity of models, optimization, and ethical concerns. Emphasize the need for continuous monitoring and improvement of AI systems.
Chapter 3
Marketing is suggested as being closest to understanding user requirements.
Chapter 4
Key AI technologies like machine learning, NLP, computer vision, and predictive analytics are explained. Examples are provided of how these are applied in sectors like fraud detection, supply chain, chatbots, quality control, and sales forecasting.
Chapter 5
How AI could enhance customer support through analyzing customer histories and providing personalized solutions. He outlines key steps like defining the problem scope, collecting data, training models, deployment, and monitoring.
Krishna Bharat Vepa
Senior Product Manager @ Freshworks
Krishna Bharat Vepa, a Senior Product Manager at Freshworks in Hyderabad, India, is an expert in developing product strategies for Intelligent Automation and Document Processing models using Data Science and Machine Learning. With a keen focus on user feedback and feature validation, he excels in converting ideas into prototypes and ensuring timely feature delivery.
What are the main pillars of Ai Product?
The main pillars include data collection, machine learning algorithms, natural language processing, and predictive analytics.
What is Ai Product, and why is it important to learn about?
AI Product involves developing smart products using artificial intelligence, crucial for understanding modern technology trends and innovations.
Is this Ai Product course designed for corporate training and workforce upskilling?
Yes, the course is tailored to enhance corporate strategies through AI product implementation and employee upskilling.
How long can I access the free Ai for product course content?
You can access the free course content indefinitely to review and reinforce your learning at your convenience.
Will I receive a certification upon completion of the free Ai for product course course?
Yes, a certification of completion will be provided to acknowledge your successful participation and understanding of the course.
Coming Soon
Intermediate
Mentor
Krishna Bharat Vepa
Senior Product Manager @ Freshworks
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