Facebook Instagram Linkedin Trustpilot
0
Learners
0
Certificates
0
Courses

Generic selectors
Exact matches only
Search in title
Search in content
Search in posts
Search in pages

Meet your Instructor:

Charles Robinson
Instructor: Technology and Development

Meet your Mentor:

Carl Mullin
Mentor: Business/Technology and Developer

Machine Learning Programmer to Machine Learning Architect

There are 4 Tracks for the Machine Learning Programmer to Machine Learning Architect course (Machine Learning Programmer, Deep Learning Programmer, Machine Learning Engineer and Machine Learning Architect). Each stage of the journey delivers 40-50 hours of courses + multimodal content and an additional 10-12 Practice Labs, Certification Pre/Assessments.

NLP for ML with Python: NLP Using Python & NLTK

NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn

Linear Algebra and Probability: Fundamentals of Linear Algebra

Linear Algebra & Probability: Advanced Linear Algebra

Linear Regression Models: Introduction to Linear Regression

Linear Regression Models: Building Simple Regression Models with Scikit Learn and Keras

Linear Regression Models: Multiple and Parsimonious Linear Regression

Linear Regression Models: An Introduction to Logistic Regression

Linear Regression Models: Simplifying Regression and Classification with Estimators

Computational Theory: Language Principle & Finite Automata Theory

Computational Theory: Using Turing, Transducers, & Complexity Classes

Model Management: Building Machine Learning Models & Pipelines

Model Management: Building & Deploying Machine Learning Models in Production

Bayesian Methods: Bayesian Concepts & Core Components

Bayesian Methods: Implementing Bayesian Model and Computation with PyMC

Bayesian Methods: Advanced Bayesian Computation Model

Reinforcement Learning: Essentials

Reinforcement Learning: Tools & Frameworks

Math for Data Science & Machine Learning

Building ML Training Sets: Introduction

Building ML Training Sets: Preprocessing Datasets for Linear Regression

Building ML Training Sets: Preprocessing Datasets for Classification

Linear Models & Gradient Descent: Managing Linear Models

Linear Models & Gradient Descent: Gradient Descent and Regularization

Final Exam: ML Programmer

ML Programming with Python

Getting Started with Neural Networks: Biological & Artificial Neural Networks

Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms

Building Neural Networks: Development Principles

Building Neural Networks: Artificial Neural Networks Using Frameworks

Training Neural Networks: Implementing the Learning Process

Training Neural Networks: Advanced Learning Algorithms

Improving Neural Networks: Neural Network Performance Management

Improving Neural Networks: Loss Function & Optimization

Improving Neural Networks: Data Scaling & Regularization

ConvNets: Introduction to Convolutional Neural Networks

ConvNets: Working with Convolutional Neural Networks

Convolutional Neural Networks: Fundamentals

Convolutional Neural Networks: Implementing & Training

Convo Nets for Visual Recognition: Filters & Feature Mapping in CNN

Convo Nets for Visual Recognition: Computer Vision & CNN Architectures

Fundamentals of Sequence Model: Artificial Neural Network & Sequence Modeling

Fundamentals of Sequence Model: Language Model & Modeling Algorithms

Build & Train RNNs: Neural Network Components

Build & Train RNNs: Implementing Recurrent Neural Networks

ML Algorithms: Multivariate Calculation & Algorithms

ML Algorithms: Machine Learning Implementation Using Calculus & Probability

DL Programming with Python

Final Exam: DL Programmer

Getting to the Root of a Problem

Confronting Your Assumptions

Investigating Arguments

Managing a Project to Minimize Risk and Maximize Quality

Embracing an Agile Culture for Business Growth

Leading a Cross-functional Team

Cultivating Relationships with Your Peers

The Building Blocks of Building Trust

Trust Building through Effective Communication

Defining Alternative Solutions to a Problem

Six Sigma Performance Metrics

Thinking Strategically as a Manager

Cultivating Cross-functional Team Collaboration

Unleashing Personal and Team Creativity

Predictive Modeling: Predictive Analytics & Exploratory Data Analysis

Predictive Modeling: Implementing Predictive Models Using Visualizations

Predictive Modelling Best Practices: Applying Predictive Analytics

Planning AI Implementation

Automation Design & Robotics

ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment

ML/DL in the Enterprise: Machine Learning Infrastructure & Metamodel

Enterprise Services: Enterprise Machine Learning with AWS

Enterprise Services: Machine Learning Implementation on Microsoft Azure

Enterprise Services: Machine Learning Implementation on Google Cloud Platform

Architecting Balance: Designing Hybrid Cloud Solutions

Enterprise Architecture: Architectural Principles & Patterns

Enterprise Architecture: Design Architecture for Machine Learning Applications

Architecting Balance: Hybrid Cloud Implementation with AWS & Azure

Refactoring ML/DL Algorithms: Techniques & Principles

Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms

Architecting ML/DL Apps with Python

Final Exam: ML Engineer

Applied Predictive Modeling

Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools

Implementing Deep Learning: Optimized Deep Learning Applications

Applied Deep Learning: Unsupervised Data

Applied Deep Learning: Generative Adversarial Networks and Q-Learning

Advanced Reinforcement Learning: Principles

Advanced Reinforcement Learning: Implementation

ML/DL Best Practices: Machine Learning Workflow Best Practices

ML/DL Best Practices: Building Pipelines with Applied Rules

Research Topics in ML and DL

Deep Learning with Keras

Architecting Advanced ML/DL Apps with Python

Final Exam: ML Architect

Confluence: Signing in & Navigating within Spaces

Confluence: Setting Up & Managing Spaces

Confluence: Working with Spaces

Confluence: Working with Team Members

Confluence: Configuring Spaces

Slack Web: Signing in and Setting Up

Slack Web: Using Channels

Slack Web: Private Messaging and Communication Tools

Slack Web: Creating, Finding, and Sharing Information

Slack Web: Configuring Slack

Slack iOS: Using the iOS App

R10 995.00 or R11 495.00 on terms with R4 955.00 deposit and 12 monthly instalments of R545.00.

Certification:

International exams are optional and can be written at any Pearson Vue Testing Centre in South Africa.  Discounted international exam vouchers can be purchased through IT Academy.

Courses are accessible on a Computer, Laptop, Tablet or Smartphone. Courses are designed in video with audio, printable, includes One-on-One Mentoring, Free Virtual-LABS with feedback and exam preps. Learners are assessed after each lecture, all assessments can be retaken at no additional cost. Receive a .pdf and original Certificate within 1 week which can be added to your CV. International exams are optional and can be written at anytime, Click here to view Centres in your area. e-Mail info@it-academy.co.za to arrange your exam booking.

One-on-One Mentoring

Free Virtual-LABS

Mobile Ready (Tablet/Smartphone access)

100% Pass Rate / Course Mastery Certificate

Discounted International Exam Vouchers

Free Exam Preps

Printable

12 Month Subscription

Student Card

Payment Terms

Your Quick Course Guide

Certification: Machine Learning Architect

Study Time: 12 Months to complete 200 hours eg study 1 hour per day to complete your course in 7 months |study Full Time or Part Time

Vendor: IT Academy

Provider: IT Academy

Student support: One-on-One Mentoring

Pre-requisite: Data Analytics to Data Scientist

Assessment: Multimodal/Assessments

Resources: Laptop, Tablet or Smartphone & Internet Connection

Expertise Level: Intermediate

Register

Anytime – 24/7 Access

Salary Indicator

SALARY PROJECTION

Average
salary after
completing

Junior
R487k
Average Salary
You can earn
R520k
Senior
R620k

High

Source: Payscale

R520k

You can earn an average
of R520,000.00 a year

Salary Indicator

SALARY PROJECTION

Average
salary after
completing

Junior
R487k
Average Salary
You can earn
R520k
Senior
R620k

High

Source: Payscale

R520k

You can earn an average
of R520,000.00 a year

Salary Indicator

SALARY PROJECTION

Average
salary after
completing

Junior
R487k
Average Salary
You can earn
R520k
Senior
R620k

High

Source: Payscale

R520k

You can earn an average
of R520,000.00 a year

What’s Included

Replace-trainer-img
  • One-on-One Mentoring
  • Free Virtual-LABS
  • Mobile Ready (Tablet/Smartphone access)
  • 100% Pass Rate / Course Mastery Certificate
  • Discounted International Exam Vouchers
  • Free Exam Preps
  • Printable
  • 12 Month Subscription
  • Student Card
  • Payment Terms

Testimonials

How Our Courses Work

Access your On-Demand, Cloud-Based Learning Anytime, Anywhere.

Courses are accesssible on a Laptop, Tablet or Smartphone.

Assessments after each lecture which can be retaken.

One-on-One Mentoring, Free Virtual-LABS with feedback.

IT Academy Course Mastery Certificate:

Receive a .pdf and original Certificate within 1 week which can be added to your CV.
Enquire about NQF Certification.

International Certificate:

Optional, can be written at anytime, click here to view Centres in your area. e-Mail info@it-academy.co.za to arrange your exam booking.

IT Academy Accreditation/Partners: CompTIA (512759) / Microsoft (1204038185) / MICT Seta (ACC2011/01/684)

Top Skills in demand by Companies in South Africa –
Software Development, Security, Data Analyst & Networking

What Sets Us Apart

  • Official Partnerships

Partners with IT certification vendors Cisco, CompTIA, Microsoft & MICT Seta

  • IT Experts

Courses are designed and led by Certified Professionals, Mobile Access

  • Award Winning

e-Learning content delivered via Video, Quizzes, Virtual labs & Mentoring

  • Virtual Practice Labs

Learn, Practice writing Code with instant feedback in a Live Environment

  • Live Mentoring

Free One-on-One Live Mentoring with Certified IT Experts

  • Practice Tests

Take Practice Tests designed to mimic the actual exam

How Do I Register?

Select An Individual Or Bundle Course.

Complete The Registration Form.

Start Today!

Select A Payment Plan.

Select An Individual Or Bundle Course.

Complete The Registration Form.

Select A Payment Plan.

Start Today!

Our Training Is Trusted By

Excellent

Based On 173 Reviews


What past Students say about their experience with IT Academy