Classical Physics: Journey Through the Laws of the Universe
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Classical Physics: Journey Through the Laws of the Universe

Peer beneath the surface of reality, understand how the universe works, and develop applications that make a difference!
4.6 (16 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
161 students enrolled
Created by Edward Reilly
Last updated 5/2017
Current price: $10 Original price: $50 Discount: 80% off
5 hours left at this price!
30-Day Money-Back Guarantee
  • 18.5 hours on-demand video
  • 13 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Fluently speak and utilize the language of Lagrangian Mechanics: Calculus of Variations
  • Confidently apply Classical Physics / Lagrangian Mechanics concepts to analyze any system or phenomenon throughout the universe
  • Program algorithms for computationally solving any equation of motion
  • Develop physics simulations similar to those powering your favorite video games and animated movies
  • Establish foundational MATLAB programming skills essential in any STEM industry
  • Develop easy-to-understand techniques for linearizing and solving differential equations
View Curriculum
  • Any introduction to elementary math and physics concepts (such as Calc 101, Linear Algebra, and Newtonian Mechanics) would GREATLY supplement your journey throughout this course but is not essential.
  • If you wish to follow along with our MATLAB simulations, you should have a copy of the program. However, note that MATLAB is available as a free trial download through Mathworks (Contact me for extra details if needed)

In this course, you're going to journey through the deepest depths of the universe, understand the underlying physics governing it, and develop practical skills and applications that set you apart from the crowd. Most of these skills are essential for success in any STEM industry (Physics, Engineering, Economics, Computer Science, etc), but we'll mostly be using them to develop the same physics simulations that power your favorite video games and animated movies!


  • Learn to fluently speak the language of Lagrangian Mechanics / Classical Physics: Calculus of Variations (Apply the Euler-Lagrange equation, find stationary points to functionals, and extend your Calculus knowledge)
  • Master the basic tenets of Lagrangian Mechanics (The Principle of Least Action, the Lagrangian, and Lagrange's Equations of Motion)
  • Apply physics principles to solve an assortment of classic examples (The Brachistochrone Problem, Simple Harmonic Motion, Chaotic Motion with Double Pendulums, etc)
  • Develop easy-to-understand techniques for linearizing and solving differential equations
  • Learn how to develop computational algorithms (the Finite Difference Approximation, Runge-Kutta Method, ODE45, etc) for solving complex equations of motion
  • Establish foundational MATLAB programming skills which are essential in most STEM industries (Physics, Engineering, Research and Development, Computer Science, etc)
  • Develop real-world simulations similar to those powering your favorite video games and animated movies
  • Experience the beauty of physics in a fun, exciting atmosphere you'll never find in a classroom; I'll make you love and enjoy physics, while enhancing your skill sets


Developed back in the 18th century, the basic principles of Classical Physics - which strive to explain the universe's underlying behavior - are some of the oldest academic achievements to-date. However, their innate power and practicality have barely been tarnished over the years. In fact, they've never been more prominent and influential as they are today. For example, most of the essential products you use on a daily basis (such as your house, car, phone, computer, etc) were designed using these same basic principles. The world you now know - along with all of its beauty and thrills - is literally a direct product of classical physics; it would not be possible without these marvelous ideas.

As a result, it is no wonder that Classical Physics concepts are invaluable assets with extremely high demand. Whether you want to be an engineer, scientist, or financial analyst, these skills are not only essential for success in any STEM industry, but their intrinsic value will get you some of the highest salaries throughout the world. For example, in the Forbes article "15 Most Valuable College Majors", not only does physics appear in the list, but 12 out of the 15 listed majors require physics / programming as an essential skill!

In this course, you're going to learn these highly coveted physics concepts that make modern society a possibility. Furthermore, you'll learn how to employ this knowledge to develop practical applications that make a difference. The main application you'll focus on is developing the same simulations that power your favorite video games and animated movies! So, in the end, not only will you be a master of the universe's underlying principles, but you'll also learn practical skills - such as MATLAB programming - that set you apart from the competition.


Through 79 lectures and 18.5 hours worth of HD-quality content, you're going to journey through some of the deepest depths of the universe - experiencing all the beauty it has to offer.  By the end of this journey, you'll be able to confidently apply classical physics concepts to analyze ANY system or phenomenon throughout the universe - whether that be the orbital motion of our planets or the dynamics of automotive components. Each step of this immersive journey also concludes with a comprehensive quiz; so, you'll have a chance to practice these concepts first-hand, receive immediate feedback, and quickly become a master of the universe! Here's a brief overview of each component you'll explore as you journey through the course:

  • Component I: As you embark on your journey, you'll first learn to fluently speak the language of Classical Physics / Lagrangian Mechanics: Calculus of Variations. This mathematical framework involves finding stationary points to "functionals", using your new favorite equation: the Euler-Lagrange Equation. Not only will this mathematical language allow us to explore and understand Classical Physics principles, but it can also be used to derive catenary curves - which are extensively utilized throughout architecture and civil engineering.
  • Component II: Once you've learned to fluently speak this intriguing language, you'll then put it to use to peer beneath the surface of reality. In this portion of your journey, we're going to explore the basic tenets of Lagrangian Mechanics / Classical Physics, which govern all behavior throughout the universe. Some essential ideas you'll discover include the Principle of Least Action, Lagrangian, and Lagrange's Equations of Motion.
  • Component III: ACTIONABLE knowledge is the true source of power and influence though, right? That's why this journey was also designed to instantly apply your new skills and use them practically. Once you've mastered the basic principles of the universe, you'll first apply these beautiful theories to tackle an assortment of classic problems. Some examples we'll work through together include the Brachistochrone Problem, straightforward problems involving Simple Harmonic Motion (SHM), and more challenging problems such as chaotic motion with double pendulums. You'll also have a chance to work through your own examples/problems to test your comprehension and address any gaps in knowledge.
  • Component IV: At this point, you'll be a master of the universe; not only will you understand how it works and operates, but you'll also have experience applying that understanding to problems. So, in the final component of your journey, you'll get an opportunity to fully unleash your new skills' potential. You're going to develop your own practical applications: simulations similar to those powering your favorite video games and animated movies! First, we'll focus on computational algorithms (such as the FInite Difference Approximation, Runge-Kutta Method, and ODE45) for solving complex equations of motion. Then, you'll learn how to program them into MATLAB and bring your simulations to life. As you journey through this component of the course, you'll run through 5 full-fledged walkthroughs on developing real-world simulations - where we walk you through the entire process step-by-step and ensure full comprehension.                                                                                                         

At the end of your journey, you will have peered beneath the surface of reality, understood how the universe works and operates, and applied your newfound knowledge to develop real-world applications. You'll be a master of the universe who knows how to utilize his/her understanding, and that alone will make you shine in the STEM industry or effortlessly excel in-class

So, feel free to explore our comprehensive curriculum or preview videos, and I look forward to seeing and working with you inside the course. I can't wait to guide you along the same journey which personally made me love physics, engineering, and mathematics :)!

Here's what some of my YouTube subscribers had to say about the course's content:

"Well, you just blew my mind. I seriously can´t thank you enough. I'm learning this in Classical Mechanics and I was having some difficulty understanding it. I am totally recommending this to my classmates! Thanks once more, I will keep watching your next videos!" - lp

"This is what i can't help but say after finishing watching your explanation: 'Dude,you are awesome! You actually got me to do some calculus solving! It's hard to make someone who despises a subject into getting interested and curious about it. But you managed to pull it off on me!' " -Yassa Moin

"This is what I need - A HIGH ENERGY LECTURER who claps his hands to get my attention! :-) Too many old men droning on in the rest of youtube lectures. Something like this is engaging and keeps you awake :-)!" -Hugh Jones

"As a retiree,finally finding time in life to start learning beautiful maths from a young man like you is very gratifying! You are tearing it up kid! Bravo!" -Blue StarFractal

"Thank you very much for this lesson. The enthusiasm and feeling for a clear explanation is very impressive." -FA Videos

"What I liked best about the video is that you first spent time explaining the intuition behind converting the problem (from, say, cartesian space) to a more abstract space and finding the solution there. Explaining such philosophy greatly helps put things in context as it answers what question really we are trying to answer. Following the content becomes much easier then. If you are not doing that in other videos, please do so :)!

TBH I was a bit skeptical about following through the whole video because I'd like to think I understand problems best when there is a geometrical intuition behind it, and have run away from any kind of analytical math all my life (even though I understood geometrical intuition behind complex calculus operations I'd still fail terribly in exams because I have a problem stating the questions analytically). This video helped me change my perspective. I wish I had teachers like you in college!

Thank you for the wonderful lecture, man!" -nilspin

Who is the target audience?
  • University students looking to effortlessly excel in-class and get that top mark
  • Die-hard scientists, engineers, or entrepreneurs looking to design the next breakthrough product that will change how we all live
  • Any curious individual looking to master the principles of physics, develop a rich foundation in mathematics, and use that knowledge practically - whether you want to design simulations or develop engineering masterpieces
Students Who Viewed This Course Also Viewed
Curriculum For This Course
79 Lectures
The Language of Lagrangian Mechanics: Calculus of Variations
11 Lectures 02:41:39

"Physics is the philosophy of life translated into the language of mathematics, and, in this case, that language is calculus of variations"

Welcome to the course and thanks so much for both your support and curiosity; it means the world to me, and you're about to embark on a transformative journey through the depths of the universe. In this lecture, we'll explore the following topics:

  • Lagrange's motives and original inspiration
  • The underlying philosophy of Lagrangian Mechanics
  • The Principle of Least Action
Preview 12:52

In Calculus 101, you learned a precise method for minimizing any function y(x). This method involved finding the point at which there is no change in the function y(x) for infinitesimal changes in the INDEPENDENT variable x (ie the point at which the derivative y'(x) = 0). In this lesson, we're going to divulge the major issue associated with functionals, and you'll find that the same framework from Calculus 101 no longer applies. This is why we're going to need a new framework and language for minimizing functionals: Calculus of Variations

Major topics in this lesson:

  • A brief review of how to minimize any function y(x)
  • The definition of a functional and how it differs from functions like y(x)
  • Why principles from Calculus 101 can not be applied to functionals
  • Establishing the framework for an example: deriving the shortest distance between any 2 points
The Problem With Functionals

Now that we understand the issues surrounding functionals, it's time to find an appropriate solution. In this lesson, we're going to do just that; we're going to develop a new framework just for minimizing functionals. To do so, the lesson will use principles from Calculus 101 as a guide and slightly alter them to work with functionals too. By the end of this lesson, you should understand the approach we'll take in minimizing functionals; this will establish the basic framework used to derive the Euler-Lagrange Equation (See Lecture 4).

Major topics in this lesson:

  • Why functionals need a new "independent" variable that directly varies the functional
  • Redefining functions to implement this "independent" variable
  • Laying out the framework that will be used to minimize functionals and derive the Euler-Lagrange Equation
Preview 08:42

Using the framework established in lecture 3, familiar Calculus 101 principles will now be utilized to minimize a functional. Such a framework essentially allows us to differentiate the functional and set it equal to zero (in other words, it allows us to find extrema as we typically would). After doing so, we'll use integration by parts and conditions asserted in lecture 3 to simplify the resulting expression. In the end, this process will yield a second-order partial differential equation - known as the Euler-Lagrange Equation - which must be satisfied to obtain stationary paths.

 Major topics in this lesson:

  • How to use Calculus 101 principles along with our new framework to minimize functionals
  • The importance of integration by parts for deriving critical results
  • Why the Euler-Lagrange Equation forms the basis of both Calculus of Variations and Lagrangian Mechanics
Deriving The Euler-Lagrange Equation

Now that we know how to minimize functionals, it's time to unleash the power of the Euler-Lagrange Equation and discover what it's capable of. In this lesson, we're going to utilize our new tools to prove that the shortest distance between two points is a straight line. In doing so, you'll learn both how to use the Euler-Lagrange Equation and obtain useful results. The main goal here is to learn how to speak the language of Lagrangian Mechancs: Calculus of Variations.

Major topics in this lesson:

  • How to use the Euler-Lagrange Equation to obtain meaningful results
  • How to work with and interpret results to better understand geometric problems
  • Why Calculus of Variations is the language of Lagrangian Mechanics
Example #1: Determining The Shortest Distance Between Two Points

As mentioned in the previous lesson, the main goal for this section's remainder is to learn how to speak the language of Lagrangian Mechanics: Calculus of Variations. To do so, first we'll revisit the major topics in this course so far, such as the following: The Principle of Least Action, the dilemmas associated with functionals, and the Euler-Lagrange Equation. Then, I'll introduce you to our second Calculus of Variations example: determining geodesics for any curved surface. As we continue this example in the following video, the goal is to generate familiarity with these concepts and help you speak this new language fluently.

Major topics in this lesson:

  • A Recap of major principles discussed in this course: Principle of Least Actions, functionals, and the Euler-Lagrange Equation
  • What is a geodesic and how does it involve Calculus of Variations?
  • A plan for running through this example in the next 2 video lectures
Example #2: Calculus of Variations Recap & Geodesics Introduction

In the previous lesson, the main topic of this example was briefly introduced: how to determine geodesics for any curved surface. Now, it's time to delve into that example and divulge the process for determining geodesics. In this video, I'll show you how to derive the functional required to used the Euler-Lagrange Equation. This will be accomplished using two generalized methods - which are applicable for any curved surface. Then, the surface of a cylinder will be utilized to demonstrate these methods directly.

Major topics in this lesson:

  • Two generalized methods for determining functionals used to find geodesics
  • Approximating functions using Taylor series expansions
  • Deriving the distance functional for a cylindrical surface
Example #2 - Part 2: Geodesics & Deriving the Functional

In this video, we're going to continue and wrap up the same example discussed in the previous two videos. Again, the main intent is to help you further understand the language of Lagrangian Mechanics: Calculus of Variations. With the underlying framework now derived for our example, it's time to employ the Euler-Lagrange equation and minimize the functional. In doing so, we're going to determine both the shortest path between points on a cylinder and a generalized approach for determining geodesics. While running through the video, make sure you pay close attention to the role of the problem's path and independent variables - as they dictate how the Euler-Lagrange equation will be applied.

Major topics in this lesson:

  • How to properly apply the Euler-Lagrange Equation
  • The role of both path and independent variables when minimizing functionals
  • Determining the geodesic for a cylindrical surface
Example #2 - Part 3: Geodesics & Applying the Euler-Lagrange Equation

Having run through two examples so far, you should be starting to understand and feel comfortable with this section's core, fundamental principles. Now, in this final example, we're going to further enhance that understanding and ensure that you can speak this new language - Calculus of Variations - fluently. The problem which will help us achieve this goal, which is formerly known as the brachistochrone problem, is one of historic significance. Solved by some of the greatest mathematicians/physicists of all time, this problem originally gave birth to Calculus of variations; it essentially seeks to find the path between two points which minimizes travel time. Running through this example will also give you more practice in determining the appropriate path and independent variables.

Major topics in this lesson:

  • The brachistochrone Problem - finding the path between two points resulting in the shortest travel time
  • Using basic physics principles to derive the problem's functional
  • The historic significance of the brachistochrone problem and how it gave birth to Calculus of Variations
Example #3 - The Brachistochrone Problem

In the previous lecture, we explored this section's final example (the brachistochrone problem) and utilized our physical intuition to derive a functional. Now, it's time to speak the language of Calculus of Variations and further enhance our understanding of it. In this video, we're going to apply the Euler-Lagrange Equation to the functional to find the path of shortest travel time. While doing so, we'll also take a look at how both the path and independent variables are chosen, and you'll find that, sometimes, this process is not as intuitive as you'd think. However, it's ABSOLUTELY important that you understand how to appropriately choose these variables before proceeding; so, pay attention and review older lectures if necessary :)! Please reach out to me if you still have trouble identifying these variables after watching the lecture.

Major topics in this lesson:

  • How to identify the appropriate path and independent variables
  • Applying the Euler-Lagrange Equation to a functional to find its stationary points
  • Trigonometric substitution in deriving the brachistochrone curve
Example #3 - Part 2: Applying the Euler-Lagrange Equation

Now that we have a general parametric expression for the brachistochrone curve, we're ready to further define that expression and interpret it. That's exactly what we're going to do in this section's final video; we're going to wrap up the example and tie a bow on top. In the end, we'll find that this expression defines what is known as a cycloid, and its radius is governed by the parameter "a". Furthermore, we'll find that this curve also solves the isochrone/tautochrone problem - which is pretty intriguing. Thanks for making it to the end of this section, and I hope you had a ton of fun while learning some really beautiful stuff :)! In the next section, we're going to finally make use of your new language skills as the main principles of Lagrangian Mechanics (and also the basic laws of the universe!) are explored.

Major topics in this lesson:

  • Why the cycloid solves both the brachistochrone and Isochrone/Tautochrone problems
  • The importance of correctly identifying variables as either path or independent variables
  • A brief review of this section's most important ideas
Example #3 - Part 3: Interpretting Results for the Brachistochrone Problem

Minimizing the Distance Between Two Points on a 3D Surface
3 questions
Core Principles: The Lagrangian and Lagrange's Equations
13 Lectures 02:51:55

In the previous section, we learned how to fluently speak a new, intriguing language: Calculus of Variations. This allowed us to minimize functionals and solve some tricky problems, but the unlimited power inherent in this new language was ultimately left untapped. In this new section, we're going to finally unleash that power to completely reformulate classical physics. It's time to talk about Lagrangian Mechanics using our new, trusty language. This will be accomplished by first exploring the disadvantages associated with Newtonian Mechanics - such as its reliance on free-body diagrams, vector-based system, and fictitious forces. Then, we'll see how Hamilton's Principle can be used to reformulate Newtonian Mechanics and resolve its main weaknesses. 

Major topics in this lesson:

  • How to utilize Calculus of Variations to reformulate classical physics
  • The disadvantages associated with the Newtonian method
  • Hamilton's Principle and how it can be used to reformulate Newtonian Mechanics
Hamilton's Principle / The Principle of Least Action

In this video, we're going to take our first, exciting step into the world of Lagrangian Mechanics - as we explore the concept of a Lagrangian. Defined as an expression of the system's kinetic and potential energies, the Lagrangian holds all the information one would need to fully describe any physical system. This is due to the fact that stationary curves of the Lagrangian satisfy Hamilton's principle; they guarantee the laws of the universe. In other words, they yield the same exact equations of motion one would obtain from Newtonian Mechanics. As a result, this allows us to reformulate classical physics using a more efficient and powerful framework - which was a MONUMENTAL accomplishment. To conclude the video, we're also going to run through a quick example (analyzing an unconstrained particle in 3 dimensions) to demonstrate these claims.

Major topics in this lesson:

  • The definition of the Lagrangian and how it fulfills Hamilton's principle
  • Generalized coordinates and their relation to Lagrange's Equations
  • The equivalence of Lagrange's Equations to the equation of motion and generalized forces / momenta
The Lagrangian and Lagrange's Equations

Formal Proof - Part 1: Why The Lagrangian Satisfies Hamilton's Principle

Formal Proof - Part 2: Why The Lagrangian Satisfies Hamilton's Principle

Major Advantages of Lagrangian Mechanics & Coordinate Invariance

A Particle in Polar Coordinates Demonstrating Coordinate Invariance

Lagrangian Mechanics Vs. Newtonian Mechanics: A Quick Comparison

A General Procedure for Lagrangian Mechanics Analyses

Example #1: Simple Harmonic Motion Revisited

Example #1 - Part 2: Lagrangian Mechanics Approach with Simple Harmonic Motion

Example #2: The Atwood Machine Revisited

Example # 2 - Part 2: Lagrangian Mechanics Approach with the Atwood Machine 1/2

Example # 2 - Part 3: Lagrangian Mechanics Approach with the Atwood Machine 2/2

Rope Sliding Off of a Table
3 questions
Application: Developing Simulations of the Universe
8 Lectures 02:02:22
Linearizing Equations of Motion to Obtain Analytical Solutions

Obtaining Analytical Solutions to Verify Simulations

The Finite Difference Method: Forward Difference Approximations

The Finite Difference Method Part 2: Backward & Central Difference Approximation

Applying the Finite Difference Method to Simple Harmonic Motion

Simulating Simple Harmonic Motion: Introduction & Setting Up the Simulation

Simulating SHM - Part 2: Programming the Algorithm & Verification

Exploring Our First Simulation: The Balance Between Accuracy & Computation Time

Developing Your First Simulation
3 questions
The Double Pendulum Example and Chaotic Motion
13 Lectures 03:32:33
Problem Introduction and Deriving the System's Kinetic Energy

Determining the Double Pendulum Lagrangian

Deriving the Double Pendulum's First Lagrange Equation

Deriving the Double Pendulum's Second Lagrange Equation

Eliminating the System's Non-linearities to Find Analytical Solutions

Determining the Natural Frequencies for Each Normal Mode

Figuring Out How Each Normal Mode's Amplitudes Are Related

Constructing the Full, Generalized Solution

Using ODE45 to Computationally Solve Coupled, 2nd Order Differential Equations

Programming the Simulation in MATLAB

Exploring the Simulation: Chaotic Motion, Phase Portraits, & Real-life Examples

The Coupled Pendulum Problem
6 questions
The Bead in a Hoop Problem
13 Lectures 03:19:03
Problem Introduction and Geometry Analysis

Deriving the System's Total Kinetic Energy

Determining The System's Lagrangian

Utilizing the Lagrangian to Derive Each Case's Equation of Motion

Case 1: Eliminating Non-linearities to Obtain an Analytical Solution

Case 2: Why the Analytical Solution Consists of Transient & Stationary Solutions

The Method of Undetermined Coefficients & Why it Needs to be Modified

Case 2: Determining the Steady-State Solution

Case 2: Using Superposition to Yield the Full Analytical Solution

Simulation: Developing Algorithms for Rendering the Geoemtry

Case 1: Programming the Finite Difference Algorithm & Verifying the Solution

Case 2: Modifying the Simulation & Verifying Results

Case 2: Exploring the Effects of Centripetal Acceleration & Gravity

The Rotating Pendulum Problem
4 questions
The Two-Rod Arm Problem: Analyzing Rigid-Body Systems
21 Lectures 04:09:32
Problem Introduction & Geometry Analysis

Determining Each Rigid Body's Center of Mass

Determing Each Rigid Body's Center of Mass - Part 2

The Difference Between Translational & Rotational Kinetic Energy

The Center of Mass Trick

Determining the System's Total Kinetic Energy: Fail-Safe Method

Simplifying Our Kinetic Energy Derivation: A More Efficient Approach

Deriving the Full System's Lagrangian

Determining the Equation of Motion - Part 1: Finding the Puzzle Pieces

Determining the Equation of Motion - Part 2: Putting the Pieces Together

Eliminating Non-Linearities to Obtain an Analytical Solution

Finding the Transient & Steady-State Solutions

Constructing the Full Analytical Solution

Exploring the Requirements for Static Equilibrium

Developing the ODE45 Computational Algorithm for Our Simulation

Developing an Algorithm for Rendering the Geometry and Motion

Implementing Collision Detection Algorithms into the Simulation

Verifying the Computational Solution & Assessing its Accuracy

Visually Experimenting with Each Case & Exploring Static Equilibrium Conditions

Demonstrating How Non-Linearities Grow as the Simulation Runs & More Exploration

Concluding Remarks

Rigid Body Problem
6 questions
About the Instructor
Edward Reilly
4.6 Average rating
16 Reviews
161 Students
1 Course
Physics Professor & Motivational Speaker

Ever since my adolescent years, I was always known as the go-to guy for advice - a person who draws out the best in others. Wherever I traveled, a trail of motivation has always been left behind, and the many lives I've touched have never ceased to thrive in my wake. This reality rises out of the fact that helping others is my ultimate purpose; I've dedicated my entire life to understanding the ingredients of success and compiling them into a replicable recipe. To me, nothing is as gratifying as teaching others to recognize their boundless potential and unleashing it.

In addition to my own personal efforts, I have also  served as a teacher and mentor in many professional settings - which has drastically enhanced my ability to make a difference. For example, while attending graduate school at an ivy league institution, I had the opportunity to teach several undergraduate college classes - such as Thermodynamics, Statics, and Strength of Materials. Such an opportunity not only showed me how people learn differently, but it also taught me how to pierce through learning barriers and make an educational impact - regardless of circumstances. This passion and talent to inspire millions of people is further enhanced by my lengthy education and vast knowledge. In the past, I've earned 3 degrees in the field (2 bachelor of science degrees and 1 master's degree) and make it a personal mission to continually enhance my knowledge and wisdom.

For this reason, I am more than confident that, after a session with The Kaizen Effect, nothing will stand between you and your dreams; I will always find a way to pave a path towards your fulfillment and success - even in the face of monumental struggles, setbacks, and challenges. When you choose to work with us, you choose to be my next success story - to reap the benefits of knowledge. We'll go to any length to help you pierce through the fog of life and find renewed clarity, direction, and focus. What will you find on the other side; what extraordinary life is waiting for you to find it? You'll only find out if you choose to take my hand and work towards the best version of yourself - to decide to grow into my next success story. I look forward to meeting and working with all of you :)!