4.8 (3)
3 Weeks
·Cohort-based Course
Understand new models, techniques, UX trends; master metrics and prototype validation, learn to successfully navigate trade-offs and launch
4.8 (3)
3 Weeks
·Cohort-based Course
Understand new models, techniques, UX trends; master metrics and prototype validation, learn to successfully navigate trade-offs and launch
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Course overview
Build the skills and confidence to ship your complex AI projects
AI projects have many moving parts - learn the strategies, technical skills and key questions to ask to launch with success.
By the end of the course you'll:
1. Gain an understanding of the large language model landscape
2. Incorporate common frameworks for building conversational experiences
3. Ship and iterate on a MVP capstone project relevant to your industry
4. Iterate on designs based on user interactions
5. Build dashboards to track key metrics
Ship without Limitation
Utilize low code techniques, prompting skills and API integrations to gain independence to prototype and ship conversational experiences.
Understand key requirements for conversational AI products in 2024
2024 brought new technologies, customer expectations and opportunities to the forefront. Gain a holistic perspective to feel prepared for upcoming years and learn to scale to an enterprise scale.
Hands on case studies - Prepare for the real world
Apply your knowledge with diverse and pertinent industry case studies. Case studies will focus on common SAAS use cases including customer support, e-commerce and internal automation.
01
Product Managers. Understand key metrics, technologies and frameworks to deliver on AI projects.
02
Engineering Managers. Gain the business context of AI to drive project impact.
03
Executive Leaders. Understand key opportunities in the AI space to transform your business.
Immerse yourself in the Conversational AI landscape
The world of Conversational AI, Gen AI and LLMs evolves quickly. Dive into the capabilities and how to best utilize models like GPT-4, Claude-3 and LLaMa. Contextualize these with prompting techniques and architectures.
Clarify your Customer Persona and their Conversational AI journey
No one wants a generic chatbot. Synthesize customer expectations with your unique product background to build with clarity. We'll work through exercises to reduce product scope by 90% so you can get to MVP faster.
Prototype AI Applications with purpose
Ship prototypes to validate hypothesis that lead to success. Build with the right tools and iterate to get activate your customer persona.
Understand AI Product Metrics and Tradeoffs
Learn seven key metrics that top performing teams measure to ship effective experiences from MVPs to top performing agents.
Launch to production
Move past the prototype and ship a functioning assistant. Learn to iterate, track metrics and understand real-world user behaviour. Incorporate your assistant's branding and purpose for a high fidelity assistant.
Real Life Exercises
We'll work through key case studies and scenarios that replicate real world scenarios in e-commerce, customers support and internal apps.
Pitch your AI product
Build the business case that brings in executive buy in and gets prioritized on the roadmap.
Learn to navigate
6 interactive live sessions
Lifetime access to course materials
63 in-depth lessons
Direct access to instructor
6 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Launching AI Agents for Product Leaders
Aug
12
Aug
14
Aug
26
4.8 (3 ratings)
Head of ML at Voiceflow, ML Startup Advisor, 150,000+ Learner AI Course instructor
Denys is the Head of Machine Learning at Voiceflow, ML Advisor and AI Course Instructor. He's worked with 50+ enterprises in their conversational AI journey, and his Gen AI courses have helped 150,000+ learners build key skills.
He's worked across the AI product stack, being hands on building key ML systems, managing product delivery teams, and working directly with customers on best practices.
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5-7 hours per week
Mondays and Wednesdays
2:00pm - 4:00pm EST
Three weeks of live lessons and exercises.
Exercises and Projects
3 hours per week
Get hands on building conversational Assistants.
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
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