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  • Career: Making High-Impact Decisions with AI

    Learn to make better technical decisions using practical frameworks and AI

    About This Course

    As a senior developer or tech lead, you're expected to make decisions that shape systems, teams, and products, but nobody teaches you how. This course is designed to bridge the gap between strong execution and strong judgment. You'll learn how to frame the right problem before jumping to solutions, how to assess risk and decide when to move fast versus when to slow down, and how to surface the hidden assumptions that derail projects. From there, you'll work through practical frameworks for evaluating trade-offs, including weighted scoring, impact mapping, and OODA. You'll also learn how to structure and communicate your recommendations so others can follow your reasoning and buy in. Throughout the course, AI is used as a thinking partner, helping you stress-test options, challenge blind spots, and pressure-test how you're framing each decision. Finally, you'll build habits around decision records and journals so your judgment keeps improving over time.

    Course Curriculum

    3h 42m 9 sections
    Welcome
    01:38 Free preview
    What will you learn in this course?
    01:24 Free preview
    Who is this course for and prerequisites?
    01:21 Free preview
    Teaching Style
    01:15 Free preview
    Why Execution Alone Has a Ceiling
    06:49
    Leverage, Second-Order Effects, and Decision Debt
    09:54
    What It Means to "Make the Call" in Complex Systems
    09:50
    What Are We Actually Deciding?
    07:14
    Defining Success: Constraints, Stakeholders, and Trade-offs
    08:56
    Using AI to Reframe Problems and Surface Blind Spots
    10:09
    Reversible vs. Irreversible Decisions
    11:27
    When to Move Fast, When to Slow Down
    10:23
    Using AI to Explore Risk, Reversibility, and Recovery Paths
    12:11
    Finding Technical, Product, and Organizational Assumptions
    10:00
    Ranking Assumptions by Uncertainty and Impact
    10:01
    Using AI as an Assumption Extractor and Skeptical Challenger
    11:41
    Why Every Important Decision Is a Trade-off
    09:07
    Practical Frameworks: Weighted Scoring, Impact Mapping, OODA
    12:51
    Using AI to Stress-Test Options and Compare Scenarios
    11:15
    Structuring Your Recommendation So Others Can Follow It
    09:48
    Communicating the Call: Buy-in Without Losing Ownership
    09:12
    Using AI to Pressure-Test How You're Framing the Decision
    09:30
    Decision Records, Decision Journals, and Organizational Memory
    09:17
    Reviewing Decisions Without Hindsight Bias
    09:58
    Using AI to Summarize, Compare, and Improve Your Decision Patterns
    10:28
    Conclusion
    05:52

    Meet Your Instructor

    Aleksandra Majkic

    Aleksandra Majkic

    Aleksandra Majkic, M.Sc. is a Strategic Talent Development Partner with 15+ years of experience in the high-tech industry. She supports tech professionals in building the leadership, communication, and people skills needed to thrive in fast-paced, ever-evolving environments. Having led high-performing teams and contributed to a successful company acquisition, Aleksandra understands the real-world challenges of growing a career in tech. She developed the MIND Framework® to help individuals navigate change with confidence, lead with clarity, and make strategic career moves—without losing their authenticity. Her approach is bold, practical, and human-centered—designed for those ready to step into greater impact and unlock their full potential in tech and beyond.

    View all courses by Aleksandra Majkic

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