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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 A Machine Learning And Artificial Intelligence Course
Learning the latest cutting-edge technologies and developments in AI training can give you a powerful competitive advantage as industries increasingly depend on data-driven insights.
That’s why, at the Institute of Data, we empower you with practical, industry-aligned training tailored for professionals who aim to integrate data smarts with strategic thinking. Take advantage of this learning opportunity not only to elevate your skills but to future-proof your career.
Step #1: Decide how you’d like to move forward with your career.
Think about why you want to take a machine learning and artificial intelligence course. Are you aiming to improve your skills, switch careers or just explore a new interest?
Knowing your motivation helps you make better decisions about your learning path. Whether you’re expanding your practical or applied learning, augmenting your software engineering course education or a mix of both, pinpointing your goals will help you choose the deep learning programs best suited to your career path.
In addition, AI and machine learning are transforming industries, and many skills related to the technology are becoming increasingly important. Learning these in-demand skills through AI and ML courses online helps you prepare for future opportunities and is more appealing to employers in your field.
Step #2: Research the course content and curriculum in detail.
Make sure the course includes fundamental topics in both machine learning and artificial intelligence, such as Python machine learning, neural networks and natural language processing.
Additionally, with rapid advances in the data science field, your machine learning and artificial intelligence course should cover up-to-date technologies that are standard within the field. Employers are actively seeking candidates with these skills, making it easier for you to transition into tech roles.
Step #3: Assess your options for flexible learning opportunities.
Choosing a course with part-time study schedules allows you to balance learning with other responsibilities, like work or family. These accredited online courses offer invaluable flexibility for professionals who need to juggle work commitments and personal responsibilities.
In addition to learning at your own pace, this flexible study schedule lets you achieve your career objectives without overwhelming your life balance. It also helps to mitigate burnout and boosts the chances of completing an AI certification program successfully.
Step #4: Take a look at the course requirements.
You should check the entry requirements to ensure you’re eligible for the course. Different courses have different requirements; the prerequisites for a cybersecurity course may vary greatly from a machine learning and artificial intelligence course.
For example, the Institute of Data’s Data Science & AI Program requires a bachelor’s degree in any field of study, previous qualifications undertaken in English and completion of assigned online pre-work provided to you during enrollment.
Several of our programs and courses are designed for those looking to enter the field in a shorter time frame. Unlike lengthy traditional university degrees, these programs are condensed to deliver targeted learning efficiently. By harnessing your learning through a machine learning and artificial intelligence course, you can gain relevant knowledge and skills needed to excel within the industry.
Frequently Asked Questions (FAQ)
What are the common applications of AI and machine learning in the real world?
AI and machine learning are embedded in daily life through various applications.
Many virtual assistant software utilize AI to interpret voice commands, while several media streaming platforms use machine learning algorithms to analyze user viewing habits and suggest new content to encourage user engagement and satisfaction.
Beyond these examples, AI has helped in fraud detection in banking, predictive maintenance in manufacturing and even analyzing potential illnesses in healthcare, showcasing the technology’s versatile application in real-world scenarios.
How long does it take to complete a typical machine learning and AI course?
Course duration varies widely from a few weeks to several months. If you opt for a part-time AI development course, you might be looking at a three-to-six-month commitment, depending on the particular machine learning and artificial intelligence course.
Meanwhile, a full-time AI programming course is typically more intensive, though it could be completed in as little as a few weeks. The Institute of Data provides flexible and structured learning paths in both 24-week part-time and 12-week full-time formats, so you could choose based on their timeframe and availability.
How do I know if machine learning is the right field for me?
One way to decide if machine learning is a good fit for your career trajectory is through personal interest: if you find joy in solving puzzles, love numbers and are intrigued by the way machines can learn from data, this field may be ideally suited to you.
Machine learning requires a willingness to engage deeply with data analysis and programming, so consider what you’re comfortable with or eager to learn. Your interest in these aspects of a machine learning and artificial intelligence course can help you decide whether this is a path you want to pursue.
If you need assistance in finding the right industry-aligned program for you, just schedule a career consultation with us today and we’ll be happy to help you.
Empower your career in a data-driven world
Embrace the future with career-transforming skills in data science, AI and cybersecurity.
Professionals and businesses need to adapt to rapidly evolving job requirements. At the Institute of Data, we provide targeted training with industry-aligned programs, focusing on the essential fields of cybersecurity, big data and artificial intelligence.
Our partnership with top educational institutions and industry experts ensures comprehensive training, enabling professionals to transition smoothly into new roles and industries. With flexible study options tailored for busy schedules, we make career upskilling achievable for everyone.
Transform your professional path and enroll in a data science & AI course at the Institute of Data today.
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