Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to 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.

AI Vibe Coding with Python

Course Code: C138
AI Vibe Coding Series

What's This Course About

Delve deep into the world of Python 3 with our comprehensive training. Begin your journey by understanding the major Python data types such as List, Tuple, Dictionary, and Set. Grasp the core concepts of conditionals, loops, and sequence generation through comprehensions and generators. Elevate your coding prowess with advanced topics like functions, lambda expressions, and the practical use of map and filter. Explore the power of Python's modules, third-party package installations, and its rich object-oriented programming paradigm using classes and inheritance.

Beyond just coding, our training empowers you to interact with databases efficiently and perform seamless file input and output operations. The course also equips you with robust error-handling techniques using exceptions. But that's not all! Get introduced to the world of data analysis and visualization with foundational insights into renowned Python libraries: Numpy, Matplotlib, and Pandas. By the end of this course, you'll be well-versed in Python 3, ready to undertake any coding challenge or project with confidence.

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 Get Started with Python

Overview

Install Python

Install Sublime Text & PyCharm

First Python Script

Comment

Topic 2 Data Types

Number

String

List

Tuple

Dictionary

Set

Topic 3 Operators

Arithmetic Operators

Compound Operators

Comparison Operators

Membership Operators

Logical Operators

Identity Operators

Topic 4 Control Structure

Conditional

Loop

Iterating Over Multiple Sequences

Break & Continue

Loop with Else

Topic 5 Function

Function Syntax

Return Single Value

Return Multiple Values

Passing Arguments

Default Arguments

Variable Arguments

Decorator

Lambda, Map, Filter

Topic 6 Modules & Packages

Modules

Packages

Python Standard Libraries

Install Third Party Packages

Anaconda Packages

Topic 7 Comprehensions & Generators

Comprehension Syntax

Types of Comprehension

Generator Syntax

Types of Generators

Topic 8 File and Directory Handling

Read and Write Data to Files

Manage File and Folders with Python OS Module

Manage Paths with Python Pathlib Module

Topic 9 Object Oriented Programming

Introduction to Object Oriented Programming

Create Class and Objects

Method and Overloading

Initializer & Destructor

Inheritance

Polymorphism

Topic 10 Database

Setup SQLite3 database

Apply CRUD operations on SQLite3

Integrate to external databases

Topic 11 Error Handling Using Exception

Exceptions versus Syntax Errors

Handle Exceptions with Try and Except blocks

The Else clause

Clean up with Finally

Topic 12 Intro to Useful Packages (Optional)

Numpy

Matplotlib

Pandas

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:

Download and Install the following software

Sign up free Google Colab account

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Aspiring Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Data Scientist
  • System Administrator
  • Bioinformatics Specialist
  • Research Scientist
  • Finance Professional
  • Machine Learning Enthusiast
  • GIS (Geographic Information System) Specialist
  • IT Consultant
  • Network Engineer
  • Database Administrator
  • Tech Entrepreneur.

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 (5)

Very useful course 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
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 11/14/2025)
Superb training 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 5/7/2025)
Well structured course 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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 4/5/2025)
Excellent course 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
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 11/23/2024)
Very useful course 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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 8/12/2024)

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