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AI Founder & Advisor to F500s | Ex-AWS
Applied AI @ OpenAI Codex | Ex-Google


20 people enrolled last week.
Our instructors each bring more than a decade of experience across AI research and applied AI, including publications at top conferences, patents, and building and leading more than 50 AI deployments for companies including Microsoft, Google, AWS, OpenAI, Samsung, and more!
#1 Rated AI Course on Maven at this scale (670+ Reviews)
To estimate the outcomes of the course, see our capstone projects
No hard prerequisites: Assignments for both, with no-code and code learners
Flipped classroom format, with > 40+ hours of live 2-way interaction with instructors instead of passive one-sided lectures
Continue learning long after the course through our weekly community and guest sessions.
🚨 Current Offers:
25% off with "EARLY25" or Scholarship program
AI Builder Bundle: Enroll at full price (3000$) and get our top rated Evals course and Agent-Native Operator course free (total worth $6650)!
You can also upgrade to our 1-year AI Builder Pass, which includes unlimited retakes, access to all our other courses, live sessions and partner credits from companies like Vapi AI, Arize, Cursor, Deepgram, Composio, Mem0, OpenAI, and more! Register for this course, and we’ll send you upgrade details over email.
Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application
Identify where agentic AI can add value by reframing business challenges through a systems lens
Understand why traditional software assumptions fail in AI-driven environments
Evaluate tradeoffs between model choices, latency, performance and cost
Identify how to incorporate tools, retrieval, memory, etc., to build autonomous systems.
Learn best practices for designing agent-based products like agent harnesses, vertical AI agents, long-running agents, and more.
Identify research and enterprise-backed methods to build scalable agentic products.
Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application
Implement evaluation and guardrail techniques using LLM judges and semantic scoring
Learn architecture-specific evaluation mechanisms ( retrieval, tool calling, autonomous agents etc.)
Get an insight into frontier practices at enterprises like post-training, inference optimization, using SLMs, fine-tuning, etc.
Analyze multi-agent coordination patterns and challenges & learn about protocols like MCP/A2A as well as constructs like skills/plugins
Identify existing enterprise trends and when to use them thoughtfully: harness engineering, loop engineering, and more!
Use your learnings to build a real-world enterprise capstone that takes real constraints into account, evals, cost, latency etc!
Present your final project to 2000+ attendees including enterprise leaders, investors, and hiring managers

AI Founder & Advisor to F500s


Applied AI Lead | AI Advisor | Ex-Google
Software/AI Engineers, Strategists, Data/Solution Architects and Consultants who want to master AI system design
Business Leaders and Product Managers seeking to gain the technical understanding needed to make informed decisions & lead AI initiatives
Entrepreneurs looking to understand common generative AI use cases and learn how to develop and implement AI-powered solutions
A willingness to work with a few basic terminal commands. The course does include a no code assignment track, but does require a small setup
Live sessions
Learn directly from Aishwarya Naresh Reganti & Kiriti Badam in a real-time, interactive format.
Lifetime access to all future cohort material
Go back to course content and recordings whenever you need to. Any changes made to future cohorts will be available for you to access offline
Community of peers
Our alums are product and engineering leaders from some of the best companies: Amazon, Anthropic, Databricks, Google, Snowflake, Notion, Meta, Microsoft and 130+ other companies
Certificate of completion
Share your new skills with your employer or on LinkedIn.
40+ hours of live interaction time
Flipped content w/ office hour style sessions for two way interaction
2 Separate assignment tracks (Low-Code and Code)
You can choose to use a visual agent builder for or python based agentic framework
Access to curated no non-sense AI resources
We've curated a large collection of practitioner approved free resources for you to continue your learning journey
Option to be part of our invite only Chai & AI community post-course
About our community: https://levelup-labs.ai/community.html
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
20 live sessions • 72 lessons
Aug
4
Aug
5
Aug
6
Aug
7
Live sessions
5 hrs / week
Sat, Aug 1
4:00 PM—5:00 PM (UTC)
Tue, Aug 4
3:00 PM—4:00 PM (UTC)
Wed, Aug 5
1:00 AM—2:00 AM (UTC)
Projects
3 hrs / week
Async content
4 hrs / week
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You get a dopamine hit from checking off concepts and saying, “Look, I built this in an hour,” without understanding how the code works or why specific design decisions were made.
You want to keep jumping between the latest tools or learning concepts for their own sake. We teach new tools only when they help solve a meaningful business problem. The depth of thought expected in the capstone should give you a clear sense of who this course is built for.
You’ve already deployed AI systems in production and are primarily looking for advanced content on scaling, performance, or optimization.
You’re looking for deep theoretical or research focused discussions on transformer internals, pretraining, alignment, or mathematical foundations.
You expect detailed coverage of LLMOps, infrastructure, or large scale deployment practices.
Maven for Teams
Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
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Save 20%+ when 2 or more teammates enroll in the same cohort.
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