At our academy, we believe in the transformative power of technology and its ability to shape the world for the better.
Artificial Intelligence (AI) is transforming how modern software and digital systems are built.
From intelligent chatbots and automation tools to smart applications that can analyze data and make predictions, AI is rapidly becoming one of the most powerful technologies driving innovation across industries.
This program introduces the core concepts of Artificial Intelligence, Machine Learning, and Generative AI, while equipping you with practical skills to build real-world AI applications.
You will learn prompt engineering, chatbot development, and how to work with the OpenAI ecosystem and APIs to create intelligent systems.
You’ll also learn Python programming, data handling and visualization using tools like Numpy and Pandas, machine learning fundamentals, and deep learning using frameworks such as TensorFlow and Keras.
You will further explore the development of autonomous AI agents capable of reasoning, interacting with external tools, and solving complex tasks.
By the end of the program, you will be able to design, build, and deploy AI-powered solutions such as chatbots, AI dashboards, automation tools, and intelligent applications used in modern real-world environments.
Job Opportunities: Tech Companies, Healthcare (AI diagnosis systems), Finance (fraud detection, trading algorithms), Marketing (AI marketing automation)
Salary: ($90,000 to $180,000 per year) or (₦3,000,000 to ₦8,000,000 per year)
Introduction to SQL
Querying databases (Basics)
Querying Multiple Tables (Joins)
Aggregating and Grouping Data
Data Transformation and SQL Functions
Subqueries and CTEs
SQL best practices for Data Analysis Projects
SQL on premise and integration
Capstone Project
Getting Started with Python
Numeric Operations and Functions
Data Structures
Control Flow
Functions and Methods
Exception Handling
List Comprehension, Lambda function, Regular Expression
Object-Oriented Programming (OOP)
Descriptive Statistics
Probability Theory
Sampling and Estimation
Hypothesis Testing
Regression Analysis
Time Series Analysis
Numpy for Scientific Computation
Pandas for Data Manipulation
Seaborn for Data Visualization
Matpotlib for Data Visualization
Exploratory Data Analysis (EDA)
Data Visualization
Feature Engineering
Introduction to Machine learning
Machine Learning Fundamentals
Regression Models/Algorithms
Classification Models/Algorithms
Clustering Models/Algorithms
Pytorch/TensorFlow (graphs, computation, eager execution)
Neural networks (ANN, CNN, RNN, MLP)
Activation & loss functions
Hyperparameter Tuning/Optimization
Time Series Analysis in Machine Learning
Model deployment
What is AI vs ML vs Generative AI
Introduction to OpenAI ecosystem
Prompt engineering (designing effective prompts)
System vs user prompts
Fine-tuning models for custom tasks
Building chatbots with OpenAI (customer support, education, personal assistants)
HTML, CSS
Intro to JavaScript (for interactive UIs)
Using OpenAI API (ChatGPT, GPT models)
What is Agentic AI? (AI agents that act autonomously)
Frameworks: LangChain, AutoGPT, CrewAI
Memory & context management in agents
Multi-agent collaboration (agents working together)
Integrating tools & APIs (search, databases, external apps)
Building intelligent chatbots with reasoning and planning abilities
Deploying chatbots on web & mobile (Streamlit, Flask, FastAPI)
Integrating with messaging platforms (WhatsApp, Slack, Telegram)
Ethics & safety in conversational AI
Scaling AI systems (cloud deployment, monitoring, optimization)
Our Digital Literacy Training program offers a comprehensive curriculum designed to empower learners with essential digital skills. Whether you are a beginner or seeking to enhance your existing knowledge, our program caters to learners regardless of their levels.
Our training program is designed to equip you with the knowledge, strategies, and tools needed to excel in the world of digital marketing.
Through our immersive training, you will be taught various aspects of digital marketing, including search engine optimization (SEO), pay-per-click (PPC) advertising, search engine marketing(SEM) just to mention a few
Mobile App Engineering involves designing, creating, and improving applications for smartphones and tablets. You'll learn how to code, design user-friendly interfaces, and work with different mobile platforms like iOS (Apple) and Android using languages like Java, Python, and JavaScript.
Enroll Today and take advantage of our ongoing Scholarship Program.
Tuition fee:
₦ 1,595,000(₦ 1,196,250)We have a flexible payment plan that accommodates all backgrounds, and all you need to do is follow the steps below:
Step 1 - Click Here To Fill The Application Form.
Note - After filling the form, you'll be redirected to your portal where you will be asked to pay a one-time Application Fee of ₦10,000. (This covers your Application Form, ID Card, Jotter, Pen & Sticker)
Step 2 - We will review your application and send an email or SMS upon approval.
Step 3 - Log in to your portal to proceed with the tuition fee.
Here are the payment plans:
Option 1 - You may choose to pay once
Option 2 - Pay every month
We can't wait to welcome you on board and embark on this exciting journey together!
Claim your Scholarship today by clicking Here Now