Learn how to build a product using machine learning with our free AI for product course. Step-by-step guide for beginners to create innovative solutions.
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Get certified upon course completion and supercharge your career journey.
1. Engaging Workshop on Growth School Benefits
An informative session introducing Growth School's mentorship opportunities, networking benefits, and career-building prospects to participants.
2. Career Insights in Data Science Roles
A deep dive into various roles in data science, including data engineer, ML engineer, and software engineer, offering valuable career direction insights.
3. Importance of Practical Experience in Data Science
Emphasizing the significance of hands-on projects in data science for practical learning and successful career progression beyond theoretical knowledge.
Exploring the transformation in product thinking towards a holistic approach that considers user needs, budgeting, and addressing stagnant revenue growth challenges collaboratively.
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Product Managers
Data Scientists
Machine Learning Engineers
Marketing Teams
Attendees of Growth School
Chapter 1
Explore the significance of integrating AI into product development, highlighting its potential to enhance efficiency and innovation. Unveil the opportunities for leveraging AI in diverse industries.
Chapter 2
Analyze the product lifecycle through the lens of AI, identifying key stages where AI can optimize processes and decision-making. Discover how AI augments each phase, from ideation to retirement.
Chapter 3
Examine the role of data science in product enhancement, emphasizing its impact on improving user experience and product performance. Explore practical applications and case studies showcasing data-driven product improvements.
Chapter 4
Unlock the potential of a free AI for product course, equipping innovators with essential skills in AI-driven product development. Embrace the opportunity to learn and apply AI techniques for product innovation.
Chapter 5
Address common product challenges using AI solutions, from market analysis to user feedback integration. Learn to harness AI's power in overcoming obstacles and driving product success.
Chirag Soni
Senior Product Manager @ PayPal
Chirag Soni is a skilled Senior Product Manager at PayPal in Bengaluru, Karnataka, India, with expertise in modeling and data science. Prior to PayPal, he worked as a Management Consultant at Sigmoid. With a combined experience of 2 years and 3 months in his current role and 7 months at Sigmoid, Chirag brings a wealth of knowledge and experience to his work.
What are the main pillars of AI for Product?
The main pillars of AI for Product include machine learning, natural language processing, and computer vision.
What is AI for Product, and why is it important to learn about?
AI for Product is the application of artificial intelligence techniques for improving product development and customer experience.
Is this AI for Product course designed for corporate training and workforce upskilling?
Yes, the AI for Product course is designed to cater to corporate training needs and workforce upskilling initiatives.
How long can I access the free AI for Product course content?
You can access the free AI for Product course content for an unlimited period once you enroll.
Will I receive a certification upon completion of the free AI for Product course course?
Yes, you will receive a certification upon successful completion of the free AI for Product course.
Step-by-Step Guide To Building A Product Using Machine Learning
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