Launching Conversational AI experiences for Product Leaders

New
·

3 Weeks

·

Cohort-based Course

Understand new models, techniques, UX trends; master metrics and prototype validation, learn to successfully navigate trade-offs and launch

Past students from

Microsoft
Amazon
Uber
Mastercard
AT&T

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


This course includes

6 interactive live sessions

Lifetime access to course materials

62 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.

Course syllabus

Expand all modules

    Meet your instructor

    Denys Linkov

    Denys Linkov

    Head of ML at Voiceflow, ML Startup Advisor, 100,000+ 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 100,000+ 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.

    A pattern of wavy dots
    Join an upcoming cohort

    Launching Conversational AI experiences for Product Leaders

    Cohort 1

    $599 USD

    Dates

    May 20—June 5, 2024

    Payment Deadline

    May 19, 2024
    |

    Bulk purchases

    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

    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

    Frequently Asked Questions

    What happens if I can’t make a live session?
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    A pattern of wavy dots
    Join an upcoming cohort

    Launching Conversational AI experiences for Product Leaders

    Cohort 1

    $599 USD

    Dates

    May 20—June 5, 2024

    Payment Deadline

    May 19, 2024
    |

    Bulk purchases

    $599 USD

    3 Weeks