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Skill diagnostic

Five concise dimensions mirror our path finder logic — refined with role, outcome, and programming maturity so recommendations fit real workloads. Signed-in learners: we persist this profile so dashboards stay aligned. Sign in

Step 1 of 5 — Experience

Step 01

Where are you starting?

Honest calibration routes you faster than pretending advanced fluency.

Foundations mode New to ML workflows or refreshing fundamentals. Hands-on practitioner Comfortable coding models & owning notebooks. Senior depth Shipping ML features / digging into literature.

Step 02

Which lane deserves priority?

Pick what matters next quarter — we pair it with bundles aligned to primary literature.

Classical ML & math rigor Regression, optimization, statistical ML workflows. Deep learning & vision Architectures, training loops, CV fundamentals. Language & LLMs Tokenization, transformers, NLP evaluation. Applied AI systems Agents, tooling stacks, orchestration mindset. Still mapping options Breadth-first orientation before specialization.

Step 03

Weekly learning bandwidth?

Sets pacing cues — ambitious learners can always accelerate mid-flight.

Steady side pursuit 2–4 focused hours weekly. Balanced grind 4–8 hours weekly. Deep sprint 8+ hours weekly — immersive.

Step 04

Professional context

Same syllabus reads differently when strategy vs IC execution is primary.

Primary role today

IC engineer Building production-facing ML surfaces. Analyst / DS adjacent Insights, experimentation hand-offs. Student Formal cohorts & structured timelines. Research Hypothesis-led experimentation. Leadership / PM Orchestrate bets without daily modeling. Career transition Pivoting into ML-intensive roles.

North-star outcome

Master fundamentals Linear progression across prerequisites. Ship responsible ML Bias toward deployment readiness. Interview loops Structured depth & storytelling. Research literacy Paper critiques & reproducibility. Executive literacy Roadmaps, governance & ROI narratives.

Step 05

Programming readiness

Determines whether we anchor on transferable ML cores before accelerated specialization.

Emerging Python fluency Prefer scaffolding & deliberate pacing. Confident scripting Daily notebooks / services. Advanced toolchain Architecture-grade automation comfort.

Deep AI Minds

A-65, 11th main, 7th street, HSR Layout
Bengaluru-560102

+91 8306690477

info@deepaiminds.com

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