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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
Why enroll in an AI course online now?
With the demand for AI skills now skyrocketing, enrolling in an AI course online is quickly becoming an urgent professional necessity.
This trend is reshaping job markets, shifting the line between those who adapt and those who lag behind. The good news is that, with our flexible and accessible data science & AI course, you don’t have to pause your career to catch up with this wave.
#1: Acquiring expertise in artificial intelligence can position professionals for long-term career success.
More and more employers require professionals with a solid grasp of AI.
The demand for AI skills is skyrocketing across industries.
As businesses integrate AI to streamline operations, enhance customer experiences and drive innovation, the need for professional development in AI technologies is more critical than ever. Job descriptions are shifting rapidly, with AI expertise becoming a prerequisite rather than an added advantage.
Those equipped with AI and machine learning skills not only enhance their career growth but also solidify their job security in a tech-driven future.
The Institute of Data provides learning opportunities for AI through the Data Science & AI Program.
The Data Science & AI Program is well-suited for individuals from various professional backgrounds. Designed for both tech-savvy individuals and those new to the IT sector, it caters to people planning to transition into promising fields like data science, analytics and machine learning.
The program also offers industry-recognized artificial intelligence certification that opens doors to roles such as Data Analyst and Data Scientist. As such, this program is a versatile stepping stone for those eager to pursue data and AI-related roles.
#2: Taking an AI course online allows students to balance learning with personal and professional commitments.
The Institute of Data provides flexible study options.
Flexible study formats are a lifeline for those aiming to upskill with an AI online course without pausing their careers.
The Institute of Data offers a Data Science & AI Program that students can pursue in two distinct formats: a 24-week part-time option or a 12-week full-time schedule. This versatility empowers learners to manage their educational journey alongside existing commitments like work and family.
Unlike rigid traditional degrees that stretch over several years, the accelerated timelines of our AI course online allow professionals to quickly pivot into AI roles or ascend their career ladder.
Remote learning is available for students.
Remote learning through an online education platform changes the game by bringing interactive experiences straight to the comfort of your own home.
Leveraging video conferencing technology, students can experience dynamic learning sessions that replicate the engagement of in-person classes. Through the use of virtual break-out rooms, digital tools like screen sharing, interactive whiteboards and collaborative projects, students can effectively learn and apply new concepts.
What’s more, with real-time instructor support in our data science and AI classes, the gap between remote and in-person learning narrows, allowing students to remain motivated and connected to their studies.
#3: At the Institute of Data, AI courses are taught by experts actively working in the industry.
Our AI expert trainers are current industry professionals.
In the rapidly evolving field of AI, having instructors who are actively engaged in the industry is crucial to any machine learning course. AI is a domain where advancements happen frequently, and staying updated with the latest trends and technologies is essential for effective learning.
At the Institute of Data, our expert trainers not only teach these courses but also work within the AI sector, bringing firsthand knowledge and insights. This direct industry experience ensures that the AI course online curriculum remains current, relevant and aligned with the practical needs of the tech industry.
Our partnerships with top universities and leading tech companies further reinforce our commitment to providing up-to-date educational content.
Students gain even more access to valuable connections through our member network.
The Institute of Data also recognizes the power of networking in career growth. Through relationships formed with fellow students, instructors and mentors, participants expand their network considerably, opening up invaluable opportunities for collaboration and career advancement within the AI industry.
Moreover, the Institute offers a dedicated Job Outcomes Program, helping students refine their resumes and cover letters while providing coaching on job interviews and salary negotiations. This program is designed to boost employability and enhance career prospects, making the job search process less daunting and considerably more strategic.
Frequently Asked Questions (FAQ)
Are there prerequisites for enrolling in an online AI course?
The prerequisites are similar to those required for our software engineering course.
At the Institute of Data, prospective students for the Data Science & AI Program are required to hold a bachelor’s degree in any field. What’s more, they also need to make sure that the previous qualifications were completed in English.
Finally, before starting the main work for our AI course online, students need to complete designated online pre-work tasks assigned at enrollment, setting them up for success once the primary program begins.
What types of learning materials are provided in online AI courses?
The Institute of Data utilizes a variety of methods in our AI course online, such as:
- Practical in-class tech skills training
- Labs
- Real-life project scenarios
These materials are crafted to help students build predictive models by mastering essential skills in data wrangling, analysis, visualization and prediction techniques. With the guidance of experienced data science trainers, students not only gain theoretical knowledge but also apply these practices in data-driven projects.
What is the difference between free and paid AI courses?
The distinction between free and paid AI training programs often lies in the depth and support.
While free courses might offer completion certificates, these generally lack the prestige and recognition of certification from established institutions. As the demand for highly skilled AI professionals rises, employers lean towards candidates with specialized training from paid courses that offer comprehensive content and experience.
Additionally, paid courses often provide more robust support systems, including access to instructors and valuable feedback, which are typically limited in free offerings.
At the Institute of Data, our AI course online includes advanced topics, real-world case studies and personal insights from industry veterans.
Ultimately, the choice between using free courses, paid programs or a blend of both depends on your personal learning goals and the desired depth of education.
Embrace the data-driven future with confidence.
The Institute of Data provides accelerated workforce training designed to meet the growing demand for artificial intelligence, big data and cybersecurity course options.
Our programs, offered in collaboration with esteemed university partners, empower professionals to thrive in a rapidly evolving digital economy. As data emerges as a critical asset, our training solutions help businesses and governments build a future-ready workforce.
Commit to lifelong learning today with our Data Science & AI course online and ensure your career evolves alongside industry trends. Download our course outline today.
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