• Home
  • Deep Learning and Machine Learning with TensorFlow

Deep Learning and Machine Learning with TensorFlow

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Intermediate
  • Assessment NA

Venue

Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Deep Learning and Machine Learning with TensorFlow

Course Code: C430

8 Review(s) | Add Your Review

What's This Course About

Elevate your Machine and Deep Learning knowledge with our meticulously crafted TensorFlow course at Tertiary Courses. Beginning with fundamental TensorFlow 2 operations, participants will be introduced to the expansive world of Neural Networks, with hands-on learning in both Regression and Classification domains. Delve deeper into specialized arenas, understanding the intricacies of Convolutional Neural Networks for Vision and exploring the vast applications of Recurrent Neural Networks for Sequential Data.

Our training goes beyond just the foundational elements. Experience the power of Transfer Learning and unlock new horizons with TensorFlow Hub, ensuring you're not just familiar, but proficient with the wide-ranging functionalities TensorFlow offers. Guided by seasoned experts and enriched with practical sessions, this course is your definitive step towards mastering TensorFlow-driven Deep and Machine Learning.

WSQ Funding

Full Fee ₵3,000.00 Before GST
GST ₵270.00 9% of fee
Baseline Nett ₵1,770.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵1,170.00 SG age 40+ · 70% funded

Course Fee

₵3,000.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Introduction to Deep Learning

Machine Learning vs Deep Learning

Deep Learning Methodology

Overview of Tensorflow Keras

Install and Run Tensorflow Keras

Basic Tensorflow Keras Operations

Topic 2 Neural Network for Regression

What is Neural Network (NN)?

Loss Function and Optimizer

Build a Neural Network Model for Regression

Topic 3 Neural Network for Classification

One Hot Encoding and SoftMax

Cross Entropy Loss Function

Build a Neural Network Model for Classification

Topic 4 Convolutional Neural Network (CNN)

Introduction to Convolutional Neural Network?

ImageDataGenerator

Image Classification Model with CNN

Data Augmentation and Dropout

Topic 5 Transfer Learning

Introduction to Transfer Learning

Applications of Pre-Trained Models

Fine Tuning Pre-Trained Models

Topic 6 Recurrent Neural Network (RNN)

Introduction to Recurrent Neural Network (RNN)

LSTM and GRU

Build a RNN Model for Time Series Forecasting

Build a RNN Model for Sentiment Analysis

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Machine Learning Engineer
  • Data Scientist
  • Deep Learning Researcher
  • AI Developer
  • Neural Network Designer
  • Computer Vision Engineer
  • NLP Engineer (branching into deep learning)
  • AI Product Manager (technical understanding)
  • Robotics Engineer (with AI components)
  • Bioinformatics Scientist (deep learning applications)
  • Medical Imaging Specialist (AI-focused)
  • Game Developer (AI-driven features)
  • Predictive Analytics Specialist
  • AI/ML Educator or Trainer
  • Autonomous Systems Developer.

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (8)

Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 6/26/2026)
Great learning experience Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 6/21/2026)
Highly recommended Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 4/20/2026)
Very informative Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 3/14/2026)
Exceeded my expectations Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 10/26/2025)

Items 1 to 5 of 8 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: Deep Learning and Machine Learning with TensorFlow

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment