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The Data Science & Artificial Intelligence (AI) Course is designed for IT and non-IT professionals who are interested in transitioning their careers into data science, analytics, machine learning and artificial intelligence. The program includes practical training, industry certification and job placement support to help professionals secure a job as a Data Analyst or Data Scientist.
The data science & AI course is delivered in a 24-week part-time or 12-week full-time format and is designed for career-driven professionals to transition into the big data and AI industry.
Our program includes pre-work, intensive practical training, industry certification and a job outcomes program in collaboration with university partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market.
Remote learning is available for this data science & AI course. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer-to-peer collaboration and instructor support.
Learn how to create predictive models by learning to wrangle, analyze, visualize, predict and find insight into data alongside the best data science trainers.
The Data Science & AI Program is a structured training program designed to help you develop the practical skills you will need as a data analyst or data scientist. After completing your Data Science & AI Program, you will receive the recognition as a Certified Data Science and Artificial Intelligence Professional (CDSAIP)™️ from the Institute of Data®.
Hundreds of professionals choose the Institute of Data every year to prepare them for their future careers after careful consideration of their desired career progression and to attain maximum return on investment for their education. Leading the future of the profession, the Institute of Data offers a collaborative and successful program, driven to ensure you have the best start to your career.
Practical data science training is an essential requirement to practice as a Data Scientist or Data Analyst. Learn from industry experts on how to apply machine learning and AI techniques for businesses and government organizations, including business consulting and simulating commercial projects.
Meet great people and become a member of the Institute
Beyond a healthy discipline of practical education and learning, students meet great friends in your virtual or real classroom and become a member of the Institute of Data. Many students continue to keep in touch with their fellow students and the community becomes a strong network as students enter the industry.
“I wanted to be able to maintain my full-time job while building on my skills. The part time nature and career assistance at the end of the program are the main things that appealed to me.”
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Course Introduction and Overview
Programming Fundamentals for Data Science
Maths & Statistics Fundamentals for Data Science
Data Science Practice (ongoing)
Data Cleaning and Quality Assessment
Data Visualisation
Statistical Testing
Succeeding as a Data Scientist in Industry
Mini Project 1 – Data Science Practice
Critical Thinking Training
Relational and Non-Relational Databases
SQL
Application Programming Interfaces (APIs)
Data Science Practice (ongoing)
Introduction to Machine Learning
Feature Modelling
Evaluating Regression Models
Overfitting and Regularisation
Questioning Technique Training
Logistic Regression
Evaluating Classification Models
Support Vector Machines
Bayesian Inference
Data Science Practice (ongoing)
K-means Clustering
Principal Components Analysis
Research and Documentation Training
Mini Project 2 – Data Science Practice
Decision Trees
Random Forests
Bias and Variance
Bagging
Boosting
Stacking
Data Science Practice (ongoing)
Web Scraping
Text Pre-processing
Sentiment Analysis
Text Classification
Presentation Skills Training
Data Science Practice (ongoing)
Introduction to Artificial Intelligence
Reinforcement Learning
Deep Feedforward Neural Networks
Recurrent Neural Networks
Convolutional Neural Networks
Mini Project 3 – Data Science Practice
Introduction to Cloud Computing
Deployment of Machine Learning Models
Cluster Computing
Streaming Data
Storytelling Training
Capstone Project
Additional Topics: Determined by Students and Lead Trainer
Job Outcomes Program
Consultation and Presentation Training
Data Science Practice
Capstone Project
How to choose the most suitable AI course for you
The demand for an AI course is booming as professionals seek to future-proof their careers. Whether you’re debating a shift into AI or aiming to elevate your skillset, enrolling in a program can be beneficial for your career.
Here are three steps to follow when selecting the right program for you:
Step #1: Determine your current skill level and knowledge in AI.
Assess your background in AI, data science or programming.
Choosing the right AI course starts with understanding your current skill level. Some programs may be geared toward more advanced learners so they don’t cover the fundamentals, while other courses may only include lessons on the basics.
At the Institute of Data, our Data Science & AI course is designed for learners with IT and non-IT backgrounds. Whether you’re already in the tech field and just want to expand your skillset or you want to transition into the industry, you can benefit from our training.
Identify specific AI areas of interest that you want to learn about.
Find out which AI topics capture your interest the most, such as machine learning, neural networks or data analysis. When you hone in on the areas you’re passionate about, you can choose a course that offers in-depth study and aligns with your professional ambitions.
Your current role or future career goals can inform this decision, helping you select topics that not only intrigue you but also provide tangible benefits to your career trajectory. Seeking out comprehensive courses can transform your understanding and open doors to new possibilities.
Step #2: Assess the AI course content and practical applications.
Look for courses with practical projects and real-world AI applications.
Select courses that feature practical projects for relevant experience. For instance, our Data Science & AI program at the Institute of Data consists of case studies, mini projects and a final capstone project that enable learners to apply AI tools in realistic scenarios to hone practical skills.
Ensure the curriculum meets industry demands.
Choose an AI course with a curriculum aligned with current job market skills and requirements. Similar to a cybersecurity course or other options, programs constructed with input from industry professionals are advantageous, as the content will continuously be up-to-date and pertinent.
With this, the Institute of Data collaborates with tech companies and universities to ensure our students are equipped with in-demand skills and useful training.
Step #3: Verify industry recognition and career support.
Confirm certification and industry recognition.
Deciding on an AI course with a recognized yet affordable AI certification is crucial. Not all online certifications hold the same weight and employers often look for credentials from reputable institutions to gauge the credibility of your skills. When you pick a program that offers a widely accepted certification, you generally boost your job market potential.
As such, upon completing the Institute of Data’s AI program, students receive a professional certification from us and a Certification of Completion from a partner university. These credentials not only validate your expertise but also signal your commitment to industry standards.
Look for career support and networking opportunities.
Career support services are pivotal in achieving post-course fulfillment. Services such as job coaching, resume reviews and networking events are instrumental in connecting with potential employers.
The Institute of Data offers dedicated job outcomes support and access to a network of industry professionals. This includes help updating CVs and cover letters, interview scenarios and more, as they can be key to propelling your career after virtual learning from the AI program.
If you have any questions about the program, feel free to schedule a consultation with us.
Frequently Asked Questions (FAQ)
What is the difference between AI, machine learning and deep learning?
AI refers to a broad set of technologies that simulate human intelligence. It includes various methods or techniques aimed at performing tasks that typically require human-like thinking.
Given this, machine learning is a subset of AI focused on building systems that improve by learning from data. On the other hand, deep learning is a specialized part of machine learning, as it employs neural networks with multiple layers to process intricate patterns and associations.
What are the prerequisites for enrolling in an AI course?
The prerequisites for an AI course can vary, but certain foundational requirements often apply. At the Institute of Data, we only have three main entry prerequisites for our Data Science & Artificial Intelligence program.
To be eligible, individuals simply need a bachelor’s degree in any study field. They also must complete that previously undertaken qualification in English and finish the provided online pre-work upon enrollment.
What kind of career opportunities are available after completing an AI course?
Completing an AI fundamentals course or advanced AI course opens the doors to a multitude of career opportunities. Graduates can find roles as AI engineers, data analysts or machine learning specialists, as each of these jobs requires skills that are well-covered in a comprehensive program.
Form your future with skills in AI and beyond.
In today’s data-driven environment, staying relevant demands up-to-date skills.
At the Institute of Data, we offer a cutting-edge AI course, but we also have cybersecurity and software engineering course outline you can view. To transform careers and organizations, our collaboration with industry leaders and academic institutions helps ensure our real-time remote learning online programs are both rigorous and practical.
Plus, with flexible study options, we make it simple for professionals to balance work and learning while gaining industry-aligned skills. These courses help individuals pivot to more technical roles and also empower companies to build future-ready teams.
Transform your potential into expertise and stay updated in a rapidly evolving job market. Download a course outline from the Institute of Data today.
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You can schedule a call with an Institute of Data Career Consultant to discuss this course.