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Applied AI Engineering: Forward Deployed Practices

This course delves into the principles and practices of, covering the mindset, methods, and craft required for successful application of AI in real-world contexts. It explores the role of the Forward Deployed AI Engineer, from discovery and delivery to iteration and integration with enterprise systems. Learners will gain insights into becoming an FDE and the future of the field

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Syllabus

134 chapters, 241 modules, 657 lessons and quizzes.

  1. 01Getting Started1 modules · 2 lessons
  2. 02Understanding the AI Landscape1 modules · 1 lessons

    Introduction to AI Engineering Landscape

  3. 03Bridging the AI Deployment Gap3 modules · 8 lessons
  4. 04Understanding the Role of Forward Deployed Engineers4 modules · 9 lessons
  5. 05The Evolution of Embedded Engineering3 modules · 9 lessons
  6. 06Embracing the Right Mindset and Methodology1 modules · 1 lessons
  7. 07Founder-Mode in Action2 modules · 4 lessons
  8. 08Effective Collaboration through Improvisation3 modules · 7 lessons
  9. 09Founder to Fractional Developer Engineer: A Career Transition1 modules · 3 lessons
  10. 10Understanding the Echo Mode in AI Engineering2 modules · 5 lessons
  11. 11Delta Mode in AI Engineering2 modules · 5 lessons
  12. 12Understanding the Echo-Delta Distinction in AI Engineering1 modules · 3 lessons
  13. 13Understanding Echo and Delta Modes in AI Engagement3 modules · 7 lessons
  14. 14Project Scoping Essentials3 modules · 7 lessons
  15. 15Validation in AI Projects3 modules · 7 lessons
  16. 16Delivering AI Solutions2 modules · 7 lessons
  17. 17Understanding the Three-Phase Framework1 modules · 3 lessons
  18. 18The Importance of Validation in AI Deployments1 modules · 4 lessons
  19. 19Understanding Dual Outputs in Engineering Engagements1 modules · 4 lessons
  20. 20Engineering Strategy Evolution1 modules · 3 lessons
  21. 21Generalizing Customer-Specific Features1 modules · 4 lessons
  22. 22Ontology as Architectural Foundation2 modules · 6 lessons
  23. 23Leveraging Templates and Productization for Efficient AI Engineering1 modules · 3 lessons
  24. 24Managerial Implications of Forward Deployment3 modules · 4 lessons
  25. 25Assessing Motion Effectiveness1 modules · 3 lessons
  26. 26Implementing the Paving Cycle in AI Engineering1 modules · 5 lessons
  27. 27Mastering the Craft of AI Engineering1 modules · 1 lessons
  28. 28Aligning AI Projects with Organizational Priorities1 modules · 3 lessons
  29. 29Understanding the Real Problem in AI Initiatives2 modules · 6 lessons
  30. 30Understanding Workflows through Observation3 modules · 5 lessons
  31. 31Understanding Project Stakeholders1 modules · 6 lessons
  32. 32Diagnostic Tests for Engagements1 modules · 3 lessons
  33. 33Conducting Effective Discovery Interviews3 modules · 6 lessons
  34. 34Analyzing and Improving Manufacturing QA Processes2 modules · 5 lessons
  35. 35Characteristics of Effective Evaluation Sets1 modules · 7 lessons
  36. 36Evaluating AI Outputs with LLM-as-Judge3 modules · 3 lessons
  37. 37Evaluating AI Outputs: Challenges and Strategies1 modules · 3 lessons
  38. 38Building AI Products with Eval-Driven Development1 modules · 3 lessons
  39. 39Effective Evaluation Strategies for AI Development3 modules · 3 lessons
  40. 40Agent Readiness in AI Systems2 modules · 5 lessons
  41. 41Evaluating AI Systems: A Shift in Engineering Mindset2 modules · 4 lessons
  42. 42Effective Project Initiation with Evaluation Sets1 modules · 3 lessons
  43. 43Evaluating Contract-Review Systems3 modules · 7 lessons
  44. 44Calibrating AI Evaluation Metrics1 modules · 4 lessons
  45. 45Building AI Systems Incrementally1 modules · 4 lessons
  46. 46Building Production-Ready Agentic Systems1 modules · 7 lessons
  47. 47Agent Deployment Strategies3 modules · 4 lessons
  48. 48Creating Effective Demos for AI Solutions3 modules · 4 lessons
  49. 49Effective Demo Techniques for Customer Engagement1 modules · 2 lessons
  50. 50Building a Reusable Slice Library1 modules · 3 lessons
  51. 51The Pitfalls of Quick Fixes in AI Engineering2 modules · 5 lessons
  52. 52Implementing AI for Contract Review2 modules · 6 lessons
  53. 53Handling Demo Failures Effectively1 modules · 3 lessons
  54. 54Data Challenges in AI Deployments2 modules · 6 lessons
  55. 55Managing AI Agent Identities1 modules · 4 lessons
  56. 56AI System Governance and Compliance3 modules · 6 lessons
  57. 57Designing Auditable AI Systems2 modules · 6 lessons
  58. 58Stakeholder Management in Regulated Industries1 modules · 3 lessons
  59. 59Handling IT Pushback in High-Priority Projects3 modules · 5 lessons
  60. 60Deploying AI in a HIPAA-Compliant Environment1 modules · 5 lessons
  61. 61Identity in System Design3 modules · 5 lessons
  62. 62Implementing Telemetry from the Start2 modules · 4 lessons
  63. 63Improving AI Products through Iterative Development1 modules · 4 lessons
  64. 64Customer Dashboard Essentials2 modules · 5 lessons
  65. 65Integrating Customer Feedback into Product Development1 modules · 4 lessons
  66. 66Managing AI Model Memory Limitations3 modules · 6 lessons
  67. 67Transitioning AI Systems to Customers1 modules · 4 lessons
  68. 68Detecting Regressions with Per-Trace Loops1 modules · 4 lessons
  69. 69Building Trust with Transparent Dashboards1 modules · 3 lessons
  70. 70Mastering Forward Deployment1 modules · 1 lessons
  71. 71Transitioning from Software Engineering to AI Engineering3 modules · 11 lessons
  72. 72Transitioning from Consulting to AI Engineering3 modules · 7 lessons
  73. 73Transitioning from Product Management to AI Engineering3 modules · 9 lessons
  74. 74Transitioning from a Failed Startup to2 modules · 7 lessons
  75. 75Understanding FDE Compensation1 modules · 4 lessons
  76. 76Real-World Transitions to Forward Deployed Engineering Roles1 modules · 6 lessons
  77. 77Breaking into Forward Deployed Engineering Early in Your Career2 modules · 5 lessons
  78. 78Building a Strong AI Portfolio3 modules · 6 lessons
  79. 79Creating an Effective Project Showcase2 modules · 6 lessons
  80. 80Building a Portfolio through Public Writing3 modules · 6 lessons
  81. 81Creating Portfolio Projects without Real Customers1 modules · 3 lessons
  82. 82Building a Portfolio with Anthropic Plugins1 modules · 4 lessons
  83. 83Creating an Effective Portfolio1 modules · 4 lessons
  84. 84Crafting Effective Project Briefs for AI Engineering Portfolios2 modules · 10 lessons
  85. 85Crafting Effective Project Briefs1 modules · 3 lessons
  86. 86Acing the Initial Screening2 modules · 5 lessons
  87. 87Technical Screen Preparation2 modules · 5 lessons
  88. 88Mastering Customer Simulation Exercises3 modules · 6 lessons
  89. 89Mastering the Ownership Conversation1 modules · 3 lessons
  90. 90Evaluating a Forward Deployed Engineering Role2 modules · 8 lessons
  91. 91Evaluating Candidates for Forward Deployed Roles1 modules · 3 lessons
  92. 92Mastering Customer Simulation Scenarios3 modules · 7 lessons
  93. 93Handling Unknown Questions in Interviews1 modules · 2 lessons
  94. 94Initial Orientation and Setup2 modules · 6 lessons
  95. 95Leading Your First Small Engagement with Guidance3 modules · 6 lessons
  96. 96Leading Engagements Independently3 modules · 6 lessons
  97. 97Career Advancement in Year One4 modules · 5 lessons
  98. 98A Year in the Life of a Forward Deployed Engineer3 modules · 8 lessons
  99. 99Managing Challenges in AI Engineering Engagements2 modules · 5 lessons
  100. 100The Future of AI Economics1 modules · 1 lessons
  101. 101Contract Structures for AI Deployments1 modules · 5 lessons
  102. 102Understanding Deployment Costs and Pricing Models2 modules · 9 lessons
  103. 103Growing Customer Relationships through AI Expansion1 modules · 3 lessons
  104. 104Designing Product Roadmaps to Capture Value1 modules · 3 lessons
  105. 105Economic Viability of1 modules · 3 lessons
  106. 106Overriding Standard Procurement for AI Startups1 modules · 4 lessons
  107. 107The Shift Away from Per-seat Pricing in AI2 modules · 4 lessons
  108. 108Negotiating Effective Contracts for AI Deployments2 modules · 5 lessons
  109. 109Evaluating the Substance of AI Deployments1 modules · 4 lessons
  110. 110Consulting Firms and the FDE Motion1 modules · 4 lessons
  111. 111Advisory Roles in AI Engineering1 modules · 3 lessons
  112. 112Effective Internal AI Deployment Teams1 modules · 3 lessons
  113. 113Common Technical Pitfalls in AI Deployment1 modules · 6 lessons
  114. 114Assessing the AI Industry's Maturity2 modules · 6 lessons
  115. 115Diagnosing Genuine AI Engineering Engagements2 modules · 5 lessons
  116. 116Career Paths for Senior AI Professionals1 modules · 5 lessons
  117. 117The Emerging Roles in AI Engineering2 modules · 6 lessons
  118. 118Career Paths in Forward Deployed Engineering1 modules · 4 lessons
  119. 119The Evolution of Forward Deployed Engineering2 modules · 5 lessons
  120. 120Convergence of Hyperscaler and Lab Environments1 modules · 3 lessons
  121. 121High-Variance Bets in Vertical AI Startups2 modules · 5 lessons
  122. 122The Enduring Role of AI Engineers2 modules · 4 lessons
  123. 123Evaluating Vendors for Forward Deployed AI1 modules · 6 lessons
  124. 124Effective Contract Negotiation for AI Projects1 modules · 4 lessons
  125. 125Essential Internal Capacities for Successful AI Projects1 modules · 4 lessons
  126. 126Understanding AI Product Pricing1 modules · 3 lessons
  127. 127Customizing Software for Competitive Advantage2 modules · 6 lessons
  128. 128Determining When to Avoid Vendor FDE Teams1 modules · 4 lessons
  129. 129Evaluation and Contract Essentials for AI Engineering4 modules · 12 lessons
  130. 130Evaluation Rubric and Customer Simulation Preparation3 modules · 9 lessons
  131. 131Implementing AI for Claims Processing3 modules · 8 lessons
  132. 132Enhancing B2B SaaS Sales with AI-Powered Pre-Call Research3 modules · 7 lessons
  133. 133Automating Inspection Reporting for Precision Aerospace2 modules · 7 lessons
  134. 134Strategic Integration and Timeliness2 modules · 7 lessons

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Applied AI Engineering: Forward Deployed Practices

  • 657lessons & quizzes
  • 134chapters
  • 65hestimated
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