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Launching AI Agents for Product Leaders
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
Don't just build AI demos, ship products.
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.
Who is this course for
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.
What you’ll get out of this course
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
- Rapidly changing models
- Cross functional teams
- Limited budgets
- Unrealistic stakeholder expectations
What’s included
Live sessions
Learn directly from Denys Linkov in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
6 live sessions • 63 lessons • 6 projects
Week 1
Aug
7
Kickoff! - Understanding your user and industry
Week 2
Aug
12
Building high fidelity prototypes
Aug
14
Iterating on user feedback
Conversational AI for Customer Support
Deep dive into the AI automation for Customer Support use case
Week 3
Aug
19
Industry Deep Dives
Aug
21
Building your business case
Building your conversational AI business case
Identifying and forecasting a good AI business case
Week 4
Aug
26
Pitch your product!
What students are saying
Meet your instructor
Denys Linkov
Denys Linkov
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.
Course schedule
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.
Learning is better with cohorts
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