AI strategy & market reality : executive insights.

Format:

Video

Contributor:

Klein, Stephen, instructor.

Labonne, Maxime, instructor.

Gallea, Quentin, instructor.

Venturi, Gabriele, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence--Business applications.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (2 hr., 28 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2025.

Summary:

In this 2-hour course, you'll cut through AI market noise to focus on strategies that deliver measurable value. Trace genAI's evolution and business models, learn why post-training drives real performance, apply causal methods to prove ROI beyond simple A/B tests, and finish by assessing agentic systems with practical trade-offs. What I will be able to do after this course Read the AI market beyond the hype Map generative AI business models to strategy Use post-training to improve LLM utility and alignment Measure ROI with causal inference (and avoid Type III error) Build and assess agentic AI systems Course Instructor(s) Stephen Klein -- CEO of Curiouser.AI, LinkedIn Top 1% Voice in AI, UC Berkeley instructor; ex-CMO at Dentons and startup co-founder. Maxime Labonne -- Head of Post-Training at Liquid AI; PhD; creator of popular open-source LLMs/tools; author of LLM engineering handbooks. Dr. Quentin Gallea -- Causal inference expert who's taught ~15,000 learners; applied causal methods to real-world policy and business impact. Who is it for? VPs/Heads of Data or AI, CTOs, product leaders, and strategy owners who must set direction, fund the right bets, and prove value. No deep math required--just the need to evaluate post-training options, guide alignment, and choose trustworthy ways to measure ROI and scale agentic solutions.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80666-789-4

OCLC:

1550467143