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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. This means our graduates will be ready to work as a Data Scientist or Data Analyst.
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
4 Reasons Why You Need A Deep Learning Course For Career Growth
You may be interested in a deep learning course as career transition opportunities expand with the rise of demand for expertise in artificial intelligence (AI). By equipping yourself with cutting-edge knowledge in neural networks, cloud computing and more, you can join the ranks of industry leaders steering the digital economy.
Whether you seek to pivot or focus on career advancement within your current field, a program like our Data Science & AI course here at the Institute of Data acts as a gateway to high-demand roles in AI, data science and beyond.
Reason #1: You become more knowledgeable and skilled in AI.
Deep learning is a branch of AI built on complex algorithms and neural networks.
Rather than relying on specified instructions, deep learning involves training machines to recognise patterns, make informed decisions and solve problems using vast datasets. This mimics the way the human brain processes information, making it an essential tool for advancements in AI.
As more industries and sectors integrate AI, understanding deep learning and its capabilities becomes crucial for anyone looking to enhance their technical skills and maintain relevance in a tech-driven career landscape.
Key concepts covered
There’s no need to look anywhere else for a deep learning course. Our Data Science & Artificial Intelligence Program at the Institute of Data covers the fundamentals of AI and deep learning, including deep feedforward, recurrent and convolutional neural networks. It also includes modules on data science, covering everything from data visualisation to application programming interfaces (APIs).
Reason #2: You gain access to high-demand career opportunities.
Expanding career horizons
A deep learning course, like our Data Science & Artificial Intelligence Program, opens doors to a range of high-demand jobs, such as data scientists, data engineers, machine learning engineers and more. Receiving a deep learning certification not only provides the technical competence necessary but also positions you strategically in a competitive job market.
Comprehensive program and industry recognition
Individuals taking certification courses online with the Institute of Data can expect pre-work, intensive training, industry-recognised certifications and a job outcomes program. We foster strong partnerships with top universities and leading tech companies to make sure our curriculum is current and tailored to the industry’s specific needs.
Then, after completing our Data Science & Artificial Intelligence Program, graduates will become Certified Data Science and Artificial Intelligence Professionals (CDSAIP)™️.
Reason #3: You get to learn new skills through flexible learning paths.
Flexible program options
The Institute of Data offers 24-week part-time and 12-week full-time programs, designed to fit around students’ current work and other personal commitments. Balancing study with your existing schedule becomes attainable with flexible learning paths and online learning platforms and tools.
Skills development
Besides Data Science and AI, the Institute of Data also offers Cybersecurity, UI/UX design and Software Engineering course options.
If you’re thinking of taking our Data Science and AI program for the deep learning course modules, for instance, you’ll be entering a field that’s experiencing rapid growth, requiring a workforce that is well-equipped with the latest data analysis tools and methodologies. By focusing on these areas, you’ll have a competitive edge, so you can contribute meaningfully to innovative projects.
Student support
At the Institute of Data, dedicated Job Outcomes Support is available for every student. With the guidance of professional career coaches, students can get the best possible chances at a new job opportunity or internal promotion. They’ll get help refining cover letters and CVs, providing interview and salary negotiation tips, and more.
In addition, those studying deep learning course content as part of our Data Science and AI program can make valuable network connections with their instructors, all of whom have years of expertise working in the industry.
Reason #4: You gain practical experience with projects that have real-world applications.
Industry-active trainers
At the Institute of Data, training is conducted live by an industry expert lead trainer who is actively working in the field. They directly teach a small group of students, so participants can ask questions and gain insights from real-world experience.
Additionally, assistant trainers, who are successful alumni of the program, support the cohorts, helping guide students through labs and enhancing the overall learning experience.
Capstone projects
Our programs include capstone projects that focus on real-world applications of theoretical knowledge. These projects provide students with a unique opportunity to apply what they’ve learned, exploring how theories translate to practical scenarios.
Frequently Asked Questions (FAQ)
Are there any prerequisites for taking a deep learning course?
To be able to take our Data Science & AI Program, which covers deep learning, you’ll have to complete the assigned online pre-work provided to you when you enroll.
In addition, you must have also completed a bachelor degree in any field of studies and any previous qualification undertaken in English.
What is the best way to stay motivated while studying deep learning online?
Staying motivated while studying online can be challenging, but setting small, realistic goals is key.
Break down your coursework into manageable tasks and reward yourself for each completion to maintain a sense of progress and achievement. Connecting with fellow learners can further boost motivation, as sharing ideas and progress creates a supportive community. Institute of Data students have the opportunity to seek support and guidance from peers and mentors in the member network.
What hardware requirements should I consider for deep learning projects?
A computer with a strong graphics processing unit (GPU) provides the power required to handle large data sets and perform complex calculations quickly. Additionally, sufficient random access memory (RAM) and storage are necessary to accommodate the sizeable datasets and resource-intensive tasks that deep learning involves.
Prospective students with questions about hardware specifications can contact us for more information.
Transforming futures with in-demand expertise
Our programs, from our Data Science and AI training to our Cybersecurity course options, are designed in collaboration with top universities and industry leaders, ensuring that each course is not only theoretically rich but also intensely practical. Empower your career with industry-relevant skills and future-ready expertise with the Institute of Data. Download a course outline today.
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Discuss with a Career Consultant
You can schedule a call with an Institute of Data Career Consultant to discuss this course.