Course Description

How to truly superlearn programming?
Reading code or scanning AI articles is just the start—what really matters is writing code that’s not only fast, but also excellent. It’s a well-known fact: about 4% of programmers produce 60% of the world’s code. If you want to join these elite coders, this immersive masterclass will show you the process, habits, and advanced strategies you need.

This course is not about memorizing syntax or rehashing beginner exercises you can find in any book. It’s about mastering the journey from idea to impact—building real, scalable projects with confidence, technical skill, and creative flair. I designed this course for anyone who’s ever wondered:
Now that I know the basics, what next?
When you get home and dream of building something cool—a tool, a game, a business—what should it be? How do you choose, plan, and execute? How do you turn your weekend hobby into a real product, or even a startup?

Here’s what you’ll experience in this masterclass:

  • Project Vision & Pre-coding Mindset:

    • Learn to spot opportunities, brainstorm creative ideas, and choose projects that inspire you.

    • Explore “programming without code”—architect and plan before ever opening your IDE.

    • Develop critical thinking for outlining your project, writing pseudo-code, and breaking complex tasks into achievable steps.

  • Design, Documentation & Planning:

    • Master the principles of user interface design, usability, and workflow for better apps and tools.

    • Learn how to write clear, useful documentation for yourself and your team, making your code accessible and maintainable.

    • Accelerate your ability to read code, parse documentation, and extract best practices from the open-source world.

  • Professional Implementation:

    • Write code with clarity, speed, and professional discipline, following industry standards for style and efficiency.

    • Apply version control (like Git), refactoring strategies, and performance optimization to level up your work.

    • Embrace test-driven development and automation to reduce errors and speed up your workflow.

  • Focus, Flow, & Team Dynamics:

    • Enter and sustain flow states for deep work and creative breakthroughs.

    • Use Pomodoro and other time management techniques to balance intense coding sessions with recovery.

    • Collaborate or delegate with confidence—learn how to work with subcontractors, teammates, or contributors on complex projects.

  • Real-World Applications:

    • Build actual projects: dynamic websites, cross-platform apps, AI-driven tools, and smart devices (using Arduino, Raspberry Pi, and more).

    • See hands-on examples of integrating branding, gamification, and monetization into your work, turning technical skill into real value.

    • Learn how to conduct market research, validate ideas, and pivot from project to business.

  • Entrepreneurship & Startup Thinking:

    • Move from tinkering to entrepreneurship—understand how to pitch, scale, and launch your product.

    • Develop an entrepreneurial mindset, ready to spot opportunities and solve problems in fast-changing tech landscapes.

  • Advanced Coding & AI Skills:

    • Go deep into expert topics: object-oriented design, generic programming, modular codebases, and multi-language interoperability.

    • Explore AI coding workflows, rapid prototyping, and integrating intelligent features into your projects.

Why this course is different:
This is not just about the “how,” but also the “why.” You’ll learn my favorite metaphors, mindset shifts, and productivity hacks drawn from years of hands-on experience, both in the industry and as a course creator. My mission is to help you develop both the technical and creative muscle to build what you imagine, and to think like a developer, designer, and entrepreneur all in one.

Along the way, you’ll get concrete frameworks, coding patterns, and creative freedom, backed by discipline and focus. You’ll see how I juggle full-time work, blogging, teaching, and raising a family, and how those real-life lessons can power your own growth.

Whether you want to accelerate your career, launch your own projects, or simply become one of the top 4% who create real impact in tech, this course will give you the skills, systems, and confidence to make it happen.

Join now and transform your tinkering into true mastery. Build anything, smarter, faster, and with results you can be proud of.

Senior Instructor

Lev Goldentouch

Dr. Lev Goldentouch, Lifehacker and technology guru.Dr Lev Gold finished PhD in machine learning and information theory when he was 27 years old. Understanding of similarity of machine learning and human super-learning allowed Lev to learn immense amounts of knowledge in many technological and cognitive subjects. Immediately afterwards Lev opened a consulting company, which offers its services to highly skilled individuals, agile startups and technological giants like Samsung. The super-learning tools developed by Lev allow ordinary people to learn x10 speed of their colleagues, and enable machines to solve extremely complex problems. Lev is an active lifehacker, constantly looking for new and better ways to do things, and willing to share his unique knowledge and experience with others.

Course curriculum

  • 1

    SECTION 1 - Programming Without Code

    • SECTION 1 LESSON 1 - Who Needs This Course

    • SECTION 1 LESSON 2 - Too Much To Learn

    • SECTION 1 LESSON 3 - Architecture For Developers

    • SECTION 1 LESSON 4 - Building Up The Relevant Skillset

    • SECTION 1 LESSON 5 - Prototyping As Investment
  • 2

    SECTION 2 - Design

    • SECTION 2 LESSON 1 - Naive And Professional Development

    • SECTION 2 LESSON 2 - Requirements And Use Cases

    • SECTION 2 LESSON 3 - The Elements Of Programming

    • SECTION 2 LESSON 4 - Planning Before Implementation

    • SECTION 2 LESSON 5 - Mindmapping

    • SECTION 2 LESSON 6 - Do Not Reinvent The Wheel

    • SECTION 2 LESSON 7 - Speedreading Software Documentation

    • SECTION 2 LESSON 8 - Speedreading The Code

    • SECTION 2 LESSON 9 - Programming Interfaces

    • SECTION 2 LESSON 10 - User Interface

    • SECTION 2 LESSON 11 - Testing And Coverage
  • 3

    SECTION 3 - Implementation

    • SECTION 3 LESSON 1 - Effective Implementation

    • SECTION 3 LESSON 2 - Local Or Cloud

    • SECTION 3 LESSON 3 - Entering Flow State

    • SECTION 3 LESSON 4 - Finding Time

    • SECTION 3 LESSON 5 - Small Increments And Pomodoro Breaks

    • SECTION 3 LESSON 6 - Using Subcontractors And Experts

    • SECTION 3 LESSON 7 - Readability

    • SECTION 3 LESSON 8 - Coding Style

    • SECTION 3 LESSON 9 - Design Patterns

    • SECTION 3 LESSON 10 - Refactoring And Code Reuse

    • SECTION 3 LESSON 11 - Design For Testing

    • SECTION 3 LESSON 12 - Notetaking And Comments

    • SECTION 3 LESSON 13 - Source Control

    • SECTION 3 LESSON 14 - Security

    • SECTION 3 LESSON 15 - Optimizing Performance

    • SECTION 3 LESSON 16 - Finding Answers Online
  • 4

    SECTION 4 - Website

    • SECTION 4 LESSON 1 - Motivation

    • SECTION 4 LESSON 2 - Market Research

    • SECTION 4 LESSON 3 - Branding

    • SECTION 4 LESSON 4 - Installations

    • SECTION 4 LESSON 5 - Visualize

    • SECTION 4 LESSON 6 - Personalizaton

    • SECTION 4 LESSON 7 - Add Ons

    • SECTION 4 LESSON 8 - What Is A Killer Content

    • SECTION 4 LESSON 9 - Write Your First Texts

    • SECTION 4 LESSON 10 - Testing

    • SECTION 4 LESSON 11 - User Feedback

    • SECTION 4 LESSON 12 - Buying Ads

    • SECTION 4 LESSON 13 - Maintenance

    • SECTION 4 LESSON 14 - Reiterate
  • 5

    SECTION 5 - Simple AI Project

    • SECTION 5 LESSON 1 - Smart Camera

    • SECTION 5 LESSON 2 - Installations

    • SECTION 5 LESSON 3 - Your First Dataset

    • SECTION 5 LESSON 4 - First Training

    • SECTION 5 LESSON 5 - Access The Camera

    • SECTION 5 LESSON 6 - Camera Calibration

    • SECTION 5 LESSON 7 - IMU

    • SECTION 5 LESSON 8 - Optimizations

    • SECTION 5 LESSON 9 - Algorithmic Flow

    • SECTION 5 LESSON 10 - Augmenting Your Dataset

    • SECTION 5 LESSON 11 - Secret Sauce
  • 6

    SECTION 6 - Gadget (Arduino Pi)

    • SECTION 6 LESSON 1 - Playing With Robots

    • SECTION 6 LESSON 2 - Find The Need

    • SECTION 6 LESSON 3 - Defining The Specifications

    • SECTION 6 LESSON 4 - Computational Power

    • SECTION 6 LESSON 5 - Sensors And Motors

    • SECTION 6 LESSON 6 - Connectivity And Automation

    • SECTION 6 LESSON 7 - Boards And Connections

    • SECTION 6 LESSON 8 - Spare Parts And Deliveries

    • SECTION 6 LESSON 9 - Lego

    • SECTION 6 LESSON 10 - Car Or Drone Mounted

    • SECTION 6 LESSON 11 - Wearables

    • SECTION 6 LESSON 12 - Safety

    • SECTION 6 LESSON 13 - Community

    • SECTION 6 LESSON 14 - Family And Esthetics

    • SECTION 6 LESSON 15 - Having Fun
  • 7

    SECTION 7 - Mobile App

    • SECTION 7 LESSON 1 - Do You Really Need A Mobile App

    • SECTION 7 LESSON 2 - Market Research

    • SECTION 7 LESSON 3 - Native Or Cross Platform

    • SECTION 7 LESSON 4 - First Steps Cross Platform

    • SECTION 7 LESSON 5 - Allocate Screens

    • SECTION 7 LESSON 6 - Design Interactions

    • SECTION 7 LESSON 7 - Testing

    • SECTION 7 LESSON 8 - App Store Optimization

    • SECTION 7 LESSON 9 - To Launch Or Not To Launch

    • SECTION 7 LESSON 10 - Support Site And PR

    • SECTION 7 LESSON 11 - Freemium Or Paid

    • SECTION 7 LESSON 12 - Built In Virality

    • SECTION 7 LESSON 13 - Gamification

    • SECTION 7 LESSON 14 - Costs
  • 8

    SECTION 8 - Chatbot

    • SECTION 8 LESSON 1 - Centaur Systems

    • SECTION 8 LESSON 2 - Building Scripts

    • SECTION 8 LESSON 3 - Redefining Interactions

    • SECTION 8 LESSON 4 - Use A Platform

    • SECTION 8 LESSON 5 - Define Entities Dynamically

    • SECTION 8 LESSON 6 - Test Your Bot

    • SECTION 8 LESSON 7 - Natural Language Processing

    • SECTION 8 LESSON 8 - Integrate On Your Pages

    • SECTION 8 LESSON 9 - Analytics

    • SECTION 8 LESSON 10 - Realtime Engagement

    • SECTION 8 LESSON 11 - Embedded Solutions

    • SECTION 8 LESSON 12 - Voice Control

    • SECTION 8 LESSON 13 - Credibility Gap

    • SECTION 8 LESSON 14 - Consider Deactivation

    • SECTION 8 LESSON 15 - Having Fun
  • 9

    SECTION 9 - Entrepreneurship

    • SECTION 9 LESSON 1 - From Project To Company

    • SECTION 9 LESSON 2 - Slideware VS Software

    • SECTION 9 LESSON 3 - Partnership And Team

    • SECTION 9 LESSON 4 - Financing Or Revenues

    • SECTION 9 LESSON 5 - Minimum Viable Product

    • SECTION 9 LESSON 6 - From Project To Product

    • SECTION 9 LESSON 7 - From Team To Company

    • SECTION 9 LESSON 8 - The Wow Effect

    • SECTION 9 LESSON 9 - Passion Vs Greed

    • SECTION 9 LESSON 10 - Embrace The Failures

    • SECTION 9 LESSON 11 - Reducing Risks

    • SECTION 9 LESSON 12 - Preventing Burnout

    • SECTION 9 LESSON 13 - Dealing With Bad Judgement

    • SECTION 9 LESSON 14 - Avoiding Fears And Negativity

    • SECTION 9 LESSON 15 - Making Money
  • 10

    SECTION 10 - Hacker Lifestyle

    • SECTION 10 LESSON 1 - Step By Step

    • SECTION 10 LESSON 2 - A Typical Lifestory

    • SECTION 10 LESSON 3 - Leveraging Learning Skills

    • SECTION 10 LESSON 4 - Prioritizing

    • SECTION 10 LESSON 5 - Doing Things Differently

    • SECTION 10 LESSON 6 - Technological Debt

    • SECTION 10 LESSON 7 - Films Do Not Get It

    • SECTION 10 LESSON 8 - Being Passionate
  • 11

    SECTION 11 - Programming Languages And No Code

    • SECTION 11 LESSON 1 - The Easiest Part

    • SECTION 11 LESSON 2 - Performance Issues

    • SECTION 11 LESSON 3 - Multiprocessing

    • SECTION 11 LESSON 4 - Language Specific Issues

    • SECTION 11 LESSON 5 - Code Vs UI

    • SECTION 11 LESSON 6 - Deployment And Debugging

    • SECTION 11 LESSON 7 - System Configuration

    • SECTION 11 LESSON 8 - Embedding Other Languages

    • SECTION 11 LESSON 9 - Removing The Garbage
  • 12

    SECTION 12 - Optimizing Equipment

    • SECTION 12 LESSON 1 - Equipment Categories

    • SECTION 12 LESSON 2 - Limited Resources

    • SECTION 12 LESSON 3 - Conceptualize Your Activities

    • SECTION 12 LESSON 4 - Start With Ergonomy

    • SECTION 12 LESSON 5 - Monitors

    • SECTION 12 LESSON 6 - Input Devices

    • SECTION 12 LESSON 7 - Storage

    • SECTION 12 LESSON 8 - Cloud Services

    • SECTION 12 LESSON 9 - Manufacturing

    • SECTION 12 LESSON 10 - Do Not Overoptimize
  • 13

    SECTION 13 - Object Oriented Design

    • SECTION 13 LESSON 1 - Classes And Responsibilities

    • SECTION 13 LESSON 2 - Encapsulation And Header Files

    • SECTION 13 LESSON 3 - Virtual Functions And Interfaces

    • SECTION 13 LESSON 4 - The Rule Of Three

    • SECTION 13 LESSON 5 - Polymorphism

    • SECTION 13 LESSON 6 - Pattern Of Patterns

    • SECTION 13 LESSON 7 - Maintainability Scalability Extensibility

    • SECTION 13 LESSON 8 - The Gang Of Four

    • SECTION 13 LESSON 9 - GRASP
  • 14

    SECTION 14 - Project Complexity

    • SECTION 14 LESSON 1 - The Factors Of Complexity

    • SECTION 14 LESSON 2 - Risk Time Money

    • SECTION 14 LESSON 3 - Moving Target

    • SECTION 14 LESSON 4 - The Salami Method

    • SECTION 14 LESSON 5 - Packaging And Delivery

    • SECTION 14 LESSON 6 - Personal Preferences

    • SECTION 14 LESSON 7 - Hidden Complexity

    • SECTION 14 LESSON 8 - Good And Bad Complexity
  • 15

    SECTION 15 - Generic Programming

    • SECTION 15 LESSON 1 - Speed Of Development Tradeoffs

    • SECTION 15 LESSON 2 - Data Structure And Algorithms

    • SECTION 15 LESSON 3 - Iterators

    • SECTION 15 LESSON 4 - Smart Pointers And Policies

    • SECTION 15 LESSON 5 - Tuples And Variadic Templates

    • SECTION 15 LESSON 6 - Function Pointers And Callbacks

    • SECTION 15 LESSON 7 - Template Classes

    • SECTION 15 LESSON 8 - Type Traits

    • SECTION 15 LESSON 9 - Does It Have To Be So Complex
  • 16

    SECTION 16 - Heterogenous Code

    • SECTION 16 LESSON 1 - MVC Revisited

    • SECTION 16 LESSON 2 - Data Transfer

    • SECTION 16 LESSON 3 - Toolchains And Crosscompilation

    • SECTION 16 LESSON 4 - Open GL and Vulkan

    • SECTION 16 LESSON 5 - Android JS And CPP

    • SECTION 16 LESSON 6 - Gaming

    • SECTION 16 LESSON 7 - Algo Python Cuda

    • SECTION 16 LESSON 8 - Upgrading Headache

    • SECTION 16 LESSON 9 - Code Vs No Code

    • SECTION 16 LESSON 10 - Jack Of All Trades
  • 17

    SECTION 17 - Computer Architecture Revised

    • SECTION 17 LESSON 1 - The Moore Law And Beyond

    • SECTION 17 LESSON 2 - Exotic Computers

    • SECTION 17 LESSON 3 - Why Should I Care About My Computer

    • SECTION 17 LESSON 4 - Parallel Processing

    • SECTION 17 LESSON 5 - Instruction Set

    • SECTION 17 LESSON 6 - Many Levels Of Cache

    • SECTION 17 LESSON 7 - Numerical Precision

    • SECTION 17 LESSON 8 - Communication Bandwidth
  • 18

    SECTION 18 - AI Skillset

    • SECTION 18 LESSON 1 - AI Literacy

    • SECTION 18 LESSON 2 - The Game Of Scale

    • SECTION 18 LESSON 3 - Do AI Experts Need Math

    • SECTION 18 LESSON 4 - Finding The Right Solution

    • SECTION 18 LESSON 5 - Acquiring Datasets

    • SECTION 18 LESSON 6 - Deep Fake And Hallucinations

    • SECTION 18 LESSON 7 - Copiloting With AI

    • SECTION 18 LESSON 8 - Training Vs Inference

    • SECTION 18 LESSON 9 - Finding A Niche

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