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Catalog/Artificial Intelligence
RFlagship TrackBeginner to Advanced120 Hours

AI & Deep Learning Complete Plan

From linear regression to Transformers, RAG and modern LLM architecture

Master modern AI by building models step-by-step. Notion-style prose canvas on the left, live Python sandbox and interactive visualizers on the right.

PyTorchPythonTransformersLLMsRAGDeep Learning
Instructor:Rudranex Admin★ Rudranex Admin

Key Competencies & Outcomes

  • Understand exact mathematical mechanics of loss landscapes and gradient descent
  • Build multi-layer neural networks from scratch in Python
  • Master multi-head self-attention, positional encoding, and Transformer architectures
  • Implement RAG (Retrieval-Augmented Generation) and fine-tuning pipelines
  • Deploy production LLM workflows with safety and speed optimizations

Curriculum Overview

Levels
6
Modules
6
Interactive Labs
53
Total XP
5,995
Prerequisites
Basic high-school algebra and curiosity.

Live Performance

Enrolled
3
Rating
⭐ 5.0(0)
Pass Rate
0%
Studying (14d)
4
Your progress0%

0 of 53 labs passed

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Reading canvas

First-principles analogies, KaTeX math, and architecture diagrams.

Live sandboxes

Direct Judge0 execution with automated test suites.

Visualizers

Interactive models you can tweak and explore in real-time.

Verifiable credentials

Official completion certificates signed with SHA-256.

Syllabus

6 levels · expand a level to see its modules, topics and interactive lessons.

Course Certificate

Complete 100% of lessons to unlock your verifiable PDF certificate — emailed automatically.

Topic 1.1: What is AI? (Definition & Boundaries)

Deconstruct the boundaries between deterministic rule execution and stochastic pattern learning.

  • What is AI? (Definition & Boundaries)15 min · +50 XPVisualizer

Topic 1.1: AI Spectrum & Terminology

Understand the hierarchy between AI, Machine Learning, Deep Learning, and Generative AI.

  • 1.1 The AI Spectrum & Nesting Map15 min · +50 XPVisualizer
  • 1.2 The Single Perceptron & Decision Boundary20 min · +60 XPSandbox

Topic 1.2: The AI Spectrum (AI vs. ML vs. DL vs. GenAI)

Understand the concentric hierarchy connecting AI, Machine Learning, Deep Learning, and Generative AI.

  • The AI Spectrum: Concentric Taxonomy20 min · +55 XPVisualizer

Topic 1.3: AI History & Breakthrough Timeline

Trace the milestone eras of AI from Turing and Dartmouth to the 2012 ImageNet inflection and 2026 Agents.

  • AI History & Breakthrough Timeline20 min · +55 XPVisualizer

Topic 1.4: Types of AI (Narrow vs. General AI)

Contrast domain-specific Narrow AI with hypothetical Artificial General Intelligence (AGI).

  • Types of AI: Narrow vs. General AI15 min · +50 XPVisualizer

Topic 1.5: AI in Daily Life (The Invisible Assistant)

Discover the dozens of hidden neural network inferences operating across everyday consumer applications.

  • AI in Daily Life: Ambient Intelligence15 min · +50 XPVisualizer

Topic 1.6: Popular AI Tools & Live Playground

Survey the landscape of modern multimodal generative tools and inspect live token generation dynamics.

  • Popular AI Tools & Inference Playground20 min · +60 XPVisualizer

Topic 1.7: Prompt Engineering Basics

Learn the core anatomy of high-precision prompts: Role, Context, Task, Constraints, and Tone.

  • Prompt Engineering Basics: Structuring Constraints25 min · +65 XPVisualizer

Topic 1.8: AI Ethics, Bias & Hallucinations

Analyze training data skews, proxy variables, demographic parity, and the EU AI Act risk framework.

  • AI Ethics, Algorithmic Bias & Hallucinations25 min · +65 XPVisualizer

Topic 1.9: Level 1 Capstone: End-to-End Problem Solver

Synthesize foundation concepts into an end-to-end customer support dispute triage workflow.

  • Level 1 Capstone: Customer Refund Triage System35 min · +150 XPReading
  • AI Glossary Challenge: Speak Like an Engineer15 min · +60 XPReading
  • Module 1 Assessment: Comprehensive AI Foundations Examination30 min · +150 XPQuiz

Topic 2A.1: Advanced Prompting (CoT & Few-Shot)

Unlock complex reasoning through Chain-of-Thought scratchpads and few-shot input-output exemplars.

  • Advanced Prompting: Chain-of-Thought & Few-Shot25 min · +75 XPVisualizer

Topic 2A.2: AI Productivity Tools & Workflow Simulators

Simulate corporate copilots for executive briefing, meeting summarization, and task delegation.

  • AI Productivity Tools & Workflow Simulators25 min · +75 XPVisualizer

Topic 2A.3: AI Content Generation & Dynamic Tone Control

Master the generation sliders: tune formality, brevity, and sampling temperature for distinct business audiences.

  • Dynamic Tone Control & Sampling Temperature25 min · +75 XPVisualizer

Topic 2A.4: No-Code Automation Pipelines

Connect webhooks, sentiment classifiers, and Slack/email actions into declarative automated pipelines.

  • No-Code Automation Pipelines (Zapier / Make for AI)30 min · +80 XPVisualizer

Topic 2A.5: AI in Business Strategy & ROI Evaluation

Quantify enterprise AI investments: calculate token unit economics, model costs, and implementation feasibility.

  • AI Business Strategy & Enterprise ROI Evaluation30 min · +80 XPVisualizer

Topic 2A.6: Track A Capstone: Enterprise Automation Suite

Build and validate a complete multi-step business workflow combining AI classification, tone adaptation, and alerting.

  • Track A Capstone: Enterprise Automation Suite40 min · +200 XPReading
  • Pre-Launch Checklist: Ship Your First Automation20 min · +80 XPReading
  • Module 2A Assessment: Advanced Prompting & Business Automation Mastery30 min · +160 XPQuiz
Gradebook

Evaluation & Performance Gradebook

Real evaluated performance across all interactive coding labs, quizzes, and verified checkpoints.

Course Grade Score
0.0%
No Evaluated Submissions Yet
Code Sandbox Labs40% Weight
+0.0 / 40%
Average Score: 0%0 Graded Components
Diagnostic Quizzes30% Weight
+0.0 / 30%
Average Score: 0%0 Graded Components
Interactive Checkpoints30% Weight
+0.0 / 30%
Average Score: 0%0 Graded Components

Concept Dependency & Mastery Graph

Threshold-based sticky mastery with automatic spaced review scheduling

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