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Tertiary Programs

Home Programs Tertiary Programs

Tertiary Programs

Our tertiary programs provides opportunity to give a massive start to your career or advance into the next level by offering highly in demad courses in the industry,

Courses available

AI and ML using python

Machine Learning

Matlab Programming-Learn Designing ,simulating ,testing ,automation and building models using MATLAB

PhD mentoring

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AI & ML

Using Python based models(15 hrs)
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Introduction to classification

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Case study- Using CAMShift algorithm using OpenCV

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Classification techniques

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Case study-Random Forest and decision tree

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Text classification

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Case study- NLP bag of words and word2vec models

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Neural networks

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Case Study

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Reinforcement learning

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Q-learning

Machine Learning

Using different algorithms and models (15 hrs)
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Introduction to Numpy and pandas

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Visualization and EDA libraries

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Regression {Linear and Logistic}

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Decision tree and Random forest

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KNN and Fuzzy -C means

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SVM and recommender systems

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PCA and ICA

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NLP 1

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NLP 2

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Project work

—Pngtree—machine-learning-illustration-concept.-flat_4180696
mat

MATLAB

Coding with fundamental toolboxes (28 hrs)
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1. Fundamentals of MATLAB programming – constructs and structures in programming

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2. Signal processing toolbox: Basics of signal processing – Sample and hold simulation

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3. Sampling

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4. Converters , interpolation ,decimation

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5. Convolution and Correlations

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6. Applications of DFT

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7.Filter design:- Analog filters and digital filters

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8.Audio Signal processing: - Opening and reading various audio files
WAV, AVI, FLAC, MP3, and MPEG-4 AAC.

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9.Digital filters for audio processing: -Moving Average , Sinc and Windowed Sinc , custom filters

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Compression

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10.Feature extraction using wavelets

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11. Image and Video signal processing:- Opening and reading image files , video files

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Color vs gray scale

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BMP , GIF, HDF , JPEG, PNG , TIFF , MP4, AVI

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12.Operators – lpf /hpf / anti-aliasing filters

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14.Feature extraction using wavelets

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15. HOG

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Communication toolbox:-

Sources, sinks ,Error detection and correction Interleaving , MIMO Filtering , Equalization , Phase/Carrier recovery AGC,I/Q and PLLs Noise and Channel modelling

Sl. No Course-Coding Age Group
1 Beginners
  • IDE
  • GUI
  • Tyker
  • Turtle
  • Project
9-13 years
2 Experts
  • Introduction OOPS
  • NUMPY
  • PANDAS
  • Project
14+ years
3 Masters
  • KNN
  • NLP
  • PCA
  • GAN’s
  • TensorFlow
17+ years

Program offering 2

Matlab Programming-Learn Designing, simulating, testing,
automation and building models using MATLAB

Program offering 3

PhD mentoring
VERY YEAR ON AN AVERAGE 650,0006 INTERNATIONAL STUDENTS COME TO AUSTRALIA FOR STUDYING

ARE YOU LOOKING FOR A MENTOR ?

ARE YOU LOOKING FOR A MENTOR ?

FOR YOUR PhD THESIS

RESEARCH WORK

SIMULATIONS TESTINO

PUBLISHING PAPERS

We can help...

BOOK A FREE1:1 INFORMATION SESSION

WITH OUR MENTOR

CALL: +61413949831 or

Drop Your Query to [email protected]

c | C++ | PYTHON | AI | ML | IMAGE PROCESSING | ELECTRONICS CIRCUIT | ECLIPSE | KEIL | OS-SYSTEM PROGRAMMING
shutterstock_1166533285-Converted-02

AI & ML

Using Python based models(15 hrs)
circle1

Introduction to classification

circle1

Case study- Using CAMShift algorithm using OpenCV

circle1

Classification techniques

circle1

Case study-Random Forest and decision tree

circle1

Text classification

circle1

Case study- NLP bag of words and word2vec models

circle1

Neural networks

circle1

Case Study

circle1

Reinforcement learning

circle1

Q-learning

Machine Learning

Using different algorithms and models (15 hrs)
circle1

Introduction to Numpy and pandas

circle1

Visualization and EDA libraries

circle1

Regression {Linear and Logistic}

circle1

Decision tree and Random forest

circle1

KNN and Fuzzy -C means

circle1

SVM and recommender systems

circle1

PCA and ICA

circle1

NLP 1

circle1

NLP 2

circle1

Project work

—Pngtree—machine-learning-illustration-concept.-flat_4180696
mat

MATLAB

Coding with fundamental toolboxes (28 hrs)
circle1

1. Fundamentals of MATLAB programming – constructs and structures in programming

circle1

2. Signal processing toolbox: Basics of signal processing – Sample and hold simulation

circle1

3. Sampling

circle1

4. Converters , interpolation ,decimation

circle1

5. Convolution and Correlations

circle1

6. Applications of DFT

circle1

7.Filter design:- Analog filters and digital filters

circle1

8.Audio Signal processing: - Opening and reading various audio files
WAV, AVI, FLAC, MP3, and MPEG-4 AAC.

circle1

9.Digital filters for audio processing: -Moving Average , Sinc and Windowed Sinc , custom filters

circle1

Compression

circle1

10.Feature extraction using wavelets

circle1

11. Image and Video signal processing:- Opening and reading image files , video files

circle1

Color vs gray scale

circle1

BMP , GIF, HDF , JPEG, PNG , TIFF , MP4, AVI

circle1

12.Operators – lpf /hpf / anti-aliasing filters

circle1

14.Feature extraction using wavelets

circle1

15. HOG

circle1
Communication toolbox:-

Sources, sinks ,Error detection and correction Interleaving , MIMO Filtering , Equalization , Phase/Carrier recovery AGC,I/Q and PLLs Noise and Channel modelling

graduation-hat-and-diploma

PhD mentoring

VERY YEAR ON AN AVERAGE 650,0006 INTERNATIONAL STUDENTS COME TO AUSTRALIA FOR STUDYING
ARE YOU LOOKING FOR A MENTOR ?
  • FOR YOUR PhD THESIS
  • RESEARCH WORK
  • SIMULATIONS TESTINO
  • PUBLISHING PAPERS
We can help...
  • BOOK A FREE1:1
  • INFORMATION SESSION
  • WITH OUR MENTOR
    CALL: +61413949831 or
  • Drop Your Query to [email protected]