Denys Linkov

Cohort 1

Cohort 2

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

Head of ML at Voiceflow, ML Startup Advisor, 150,000+ Learner AI Course instructor

Launching AI Agents for Product Leaders

Product Manager

Senior Conversation Designer

Program Manager

Build the skills and confidence to ship your complex AI projectsAI 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 landscape2. Incorporate common frameworks for building conversational experiences3. Ship and iterate on a MVP capstone project relevant to your industry4. Iterate on designs based on user interactions5. Build dashboards to track key metrics Ship without LimitationUtilize 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 20242024 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 worldApply 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.

Don't just build AI demos, ship products.

Course syllabus

Three weeks of live lessons and exercises.

Mondays and Wednesdays

Get hands on building conversational Assistants.

Exercises and Projects

Course schedule

Product Managers. Understand key metrics, technologies and frameworks to deliver on AI projects.

Engineering Managers. Gain the business context of AI to drive project impact.

Executive Leaders. Understand key opportunities in the AI space to transform your business.

Who is this course for

What you’ll get out of this course

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.

Immerse yourself in the Conversational AI landscape

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.

Clarify your Customer Persona and their Conversational AI journey

Ship prototypes to validate hypothesis that lead to success. Build with the right tools and iterate to get activate your customer persona.

Prototype AI Applications with purpose

Learn seven key metrics that top performing teams measure to ship effective experiences from MVPs to top performing agents.

Understand AI Product Metrics and Tradeoffs

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.

Launch to production

We'll work through key case studies and scenarios that replicate real world scenarios in e-commerce, customers support and internal apps.

Real Life Exercises

Build the business case that brings in executive buy in and gets prioritized on the roadmap. Learn to navigate<ul><li>Rapidly changing models</li><li>Cross functional teams</li><li>Limited budgets</li><li>Unrealistic stakeholder expectations</li></ul>

Pitch your AI product

Staying afloat in a sea of AI news

Every demo and release is meant to generate excitement, we'll dig deeper to find the impact of each one

Denys Linkov

Denys Linkov

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