Artificial Intelligence & Machine Learning

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Artificial Intelligence & Machine Learning

Courses Available:

1. PGD AI & ML
Completion: 12 Months (3 semesters)
Certificate: Issued by Highstone International University USA.

2. Certificate AI & ML
Completion: 4 Months -max
Certificate: Jointly issued by Nhames & HIU USA.

Welcome to our Artificial Intelligence & Machine Learning program!

As technology continues to advance at a rapid pace, the fields of artificial intelligence and robotics are becoming increasingly important in shaping our future. Are you ready to embark on a transformative journey into the realms of AI and ML? Our rigorous training program is your gateway to mastering the cutting-edge technologies that are shaping industries and driving innovation worldwide.

In an era where data is king, AI and ML are the crown jewels. Our comprehensive program is designed to equip you with the knowledge and skills needed to harness the power of AI and ML.

More on Artificial Intelligence and Machine Learning

Concept of AI & ML

Artificial Intelligence (AI) and Machine Learning (ML) encompass innovative technologies that empower machines to acquire knowledge from data and real-world encounters, empowering them to formulate informed decisions and forecasts.

These transformative AI and ML capabilities find application across an extensive spectrum of industries, spanning healthcare and finance, with the primary aim of enhancing operational efficiency and precision. Prominent industry leaders in the realm of AI and ML, including Google, Microsoft, IBM, Amazon, and Apple, offer a diverse suite of AI and ML services, such as natural language processing, computer vision, and machine learning. By harnessing the power of AI and ML, organizations can streamline workflows through automation, elevate customer service standards, and usher in an era of more precise predictive capabilities.

About this Course

Our AI & ML training and certification courses provide an in-depth understanding of the concepts and techniques used in the development of AI & ML applications. These courses cover topics such as data analysis, machine learning algorithms, deep learning, natural language processing, computer vision, and more. They also provide hands-on experience with real-world projects and case studies.

Pre-requisite

Anyone with determination and good science & computer background can attend this course But the following will be an added advantage..

Graduates of Engineering, computer science & other sciences especially Physics
Computer and Science enthusiast
Knowledge of matrix algebra and mathematics
Knowledge of basic programming languages such as Python, Java, and C++.
Understanding of basic mathematics and statistics.
Knowledge of basic algorithms and data structures.
Familiarity with AI and ML tools such as TensorFlow, Scikit-Learn
Ability to apply AI and ML techniques to solve real-world problems.

You will be able to

Ability to interpret AI & ML results: This includes the ability to interpret the results of AI & ML models and to explain them to stakeholders.
Understanding of AI & ML algorithms and techniques: This includes knowledge of supervised and unsupervised learning, deep learning, neural networks, natural language processing, and computer vision.
Ability to deploy AI & ML models: This includes the ability to deploy models to production environments and to monitor their performance.
Understanding of data science: This includes knowledge of data wrangling, data visualization, and data analysis.
Understanding of ethical considerations: This includes knowledge of ethical considerations related to AI & ML, such as privacy, fairness, and transparency.
Assess limitations of traditional, model-based approaches, visualize these failure cases, and propose an approach on how they can be addressed (as assessed by bonus exercises in homework assignments)
Ability to develop AI & ML models: This includes the ability to develop models using popular AI & ML frameworks such as TensorFlow, Keras, and Scikit-Learn.

Curriculum

One Year Curriculum Postgraduate diploma	Certificate Course Curriculum	Electives
1st Semester -4 months	Max of 4 Months duration
Preparatory Classes on Python for AI & ML and Linux	Preparatory Classes on Python for AI & ML and Linux	Data Visualization with Tableau
Python with Data Science	Python with Data Science	Advanced Machine Learning
Git and GitHub	Git and GitHub	Reinforcement Learning
Unsupervised Learning	Unsupervised Learning	Applied Statistics
Data Wrangling with SQL	Story Telling	Sentiment Analyzer
Machine Learning & Prediction Algorithms	Data Wrangling with SQL	TensorFlow and Neural Network
Story Telling	Artificial Intelligence and Deep Learning with TensorFlow	Motion Analysis and Object Tracking
Reinforcement Learning	Natural Language Processing
2nd Semester	1 Elective
Machine Learning Models for Selection and Tuning	Term Papers & Test
Advanced Machine Learning	Final Project
Machine Learning for Robotics
Software Engineering for Data Science
Data Science at Scale with PySpark
Artificial Intelligence and Deep Learning with TensorFlow
Natural Language Processing
3rd Semester
Image Processing and Computer Vision
Deployment of Machine Learning Systems to Production
Work with Large Datasets
Data Visualization with Tableau
Data Science with R
Project Management
STUDENT FINAL PROJECT

Career Scope

Some potential job opportunities in this field include but not limited to the following.

Robotics Engineer
Industrial Engineer
Robotics Programmer
Robotics Systems Controller
Robotics Testing Technician
Robotics Quality Assurance Technician
Healthcare Robotics Engineer
Aerospace Engineer

Training Mode

Hybrid Training.

Hybrid Training consists of both online and physical (face-to-face) Training

Online Training 75%
Physical 25%

Industry Projects

A stock prices prediction system learns about the performance of a company and predicts future stock prices. Stock price prediction is not so easy there are different types of data like volatility indices, prices, global macroeconomic indicators, fundamental indicators, and more.

TensorFlow is an open-source machine learning framework that simplifies the process of developing and deploying machine learning models. Its versatility makes it suitable for tasks such as image and speech recognition, natural language processing, recommendation systems, and more.

The goal of this project is to create an intelligent chatbot that can hold natural and meaningful conversations with users.. It is possible to build your own Chatbots. If you are a beginner in NLP or just a curious AI enthusiast looking for a machine learning project to explore this subdomain, then building a

Final Artificial Intelligence & Machine Learning Project

In this final capstone project, you will combine all of the new skills you’ve learned and developed in this course to construct a unique AI-ML project. You will be expected to carry out wide range research in this field and come out with a stunning and great project. group of students can combine to execute a project

APPLY FOR SCHOLARSHIP

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You can secure up to 75% scholarship if you satisfy most of the conditions below:

Must be Academically sound (2.1 or better)
Must be Super Creative
Have a great Idea that can turn to MVP
Have a great Minimum Viable Product
Proofs, you can’t afford the fees

Click the button below to Apply

Apply Now >>

PAY AS YOU GO

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N150,000.00/month

1 Month Access on the go
Pause program at will
Apply for scholarship

ONE TIME TUITION FEE

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N1,250,000.00

Enroll Now -->

12 Months (3 semester)Full Access
Save an extra 15% vs. pay as you go
Pay online and save extra %
Online course work
Physical class for Practical & Projects
Final Capstone Project

Artificial Intelligence & Machine Learning