World-Renowned Faculty
Gain guidance from experienced academics and industry professionals who bring practical understanding into every lesson.
Live + Self Paced
Artificial Intelligence Certification Course
Digital Regenesys’s 6-month Artificial Intelligence Course teaches practical AI skills at a steady pace. The course combines hands-on learning with building intelligent systems, automating tasks, and working with data using popular AI tools.
Live sessions with experienced faculty make complex ideas easy to understand. Each module includes guided practice for real-world application. The approach builds confidence in using AI across projects.
After completion, you receive an IITPSA-accredited certificate recognised for entry-level and developing roles in AI.
4.5/5Student Reviews
500,000+Regenesys Alumni
IITPSAAccredited
What You Will Learn
Building workable machine learning models using Python and commonly used AI libraries.
Prepare, clean, and structure data for training and testing AI systems.
Create and test models for regression, classification, and prediction tasks.
Apply AI techniques to text, images, and structured data through guided examples.
Evaluate model performance and improve results using tuning and optimisation methods.
Address ethical, regulatory, and risk considerations while developing AI solutions.
This Artificial Intelligence Course Includes
96
HOURS OF LEARNING CONTENT
11
TOOLS & LANGUAGES
03
SELF PACED MODULES
48
SESSIONS
Artificial Intelligence Course Curriculum
Join interactive live sessions led by industry experts. Get your doubts cleared in real time, collaborate with peers, and gain practical insights directly from professionals.
48 sessions•48 lectures•96h total length
Self-Paced Learning / Modules
Take control of your learning journey with recorded classes, interactive exercises, and case studies available to you anytime, anywhere.
48 sessions•48 lectures•96h total length
Tools Covered
Skills You Will Gain
Python Programming
Computer Vision
Model Deployment
Data Handling
Designing Deep Learning Models
Deploying Predictive Models
Who Should Enrol?
Students & Early Career Professionals
- Students and fresh graduates aiming to build AI and machine learning expertise.
- Individuals looking to improve career prospects in AI-driven roles.
- Aspiring tech professionals wanting a strong foundation in AI concepts and tools.
Tech & Domain Professionals
- Software developers, data engineers, analysts, and IT professionals transitioning into AI roles.
- Business analysts, finance, healthcare, and marketing professionals applying AI in their fields.
- Professionals seeking practical skills in predictive modeling, automation, and AI applications.
Managers, Researchers & Academicians
- Senior managers and decision-makers exploring AI for business intelligence and strategy.
- Researchers and academicians working with AI, ML, NLP, and Computer Vision.
- Professionals aiming to understand AI’s impact and integrate it into organisational processes.
Students & Early Career Professionals
- Students and fresh graduates aiming to build AI and machine learning expertise.
- Individuals looking to improve career prospects in AI-driven roles.
- Aspiring tech professionals wanting a strong foundation in AI concepts and tools.
Tech & Domain Professionals
- Software developers, data engineers, analysts, and IT professionals transitioning into AI roles.
- Business analysts, finance, healthcare, and marketing professionals applying AI in their fields.
- Professionals seeking practical skills in predictive modeling, automation, and AI applications.
Managers, Researchers & Academicians
- Senior managers and decision-makers exploring AI for business intelligence and strategy.
- Researchers and academicians working with AI, ML, NLP, and Computer Vision.
- Professionals aiming to understand AI’s impact and integrate it into organisational processes.
Why Choose Our Artificial Intelligence Course?
Weekly Live Classes
Attend interactive sessions for doubt-clearing, guided exercises, and collaborative discussions focused on AI concepts and applications.
Industry-Ready Curriculum
Follow an industry-aligned course covering Python, data processing, machine learning, deep learning, NLP, and computer vision.
Hands-On Learning
Work on practical exercises, case-based tasks, and real-world AI datasets to build strong technical expertise.
Personalised Guidance
Receive expert support to guide your learning, projects, and practical application of AI techniques.
Collaborative Peer Networking
Connect with fellow learners, share ideas, and learn through group discussions and community engagement in AI projects.
End-to-End Support
Access guidance for AI tools, coding exercises, projects, and technical queries throughout your learning journey.
Applied Skills
Develop comprehensive skills in data analysis, model development, neural networks, and deploying AI solutions through hands-on practice.
What Sets Us Apart?
At Digital Regenesys, we focus on delivering learning experiences that are practical, accessible, and built for modern professionals.
Beginner-Friendly Approach
Structured to support learners with no prior programming or AI experience.
3 Years LMS Access
Revisit course materials, recordings, and resources anytime over three years.
Continuous Learning Support
Get dedicated help for queries, assignments, and practical projects throughout the course.
Global Recognition
IITPSA-accredited certification validating skills in artificial intelligence and deep learning.
Capstone Projects
Apply your learning through structured, real-world AI and data-driven projects.
Community & Networking
Engage with a diverse learner community and build connections with fellow AI enthusiasts and professionals.
Expert-Led Live Webinars
Join interactive live sessions with industry experts to strengthen your AI capabilities, build your project portfolio, and prepare for data-driven career paths. Gain practical insights, ask questions in real time, and apply your learning directly to hands-on AI projects.
Earn An IITPSA Recognised Artificial Intelligence Certificate
Digital Regenesys’s Artificial Intelligence Certificate Course provides professionals with the knowledge and practical skills to design intelligent systems and apply AI to real-world challenges. This certification validates your expertise in developing machine learning models, applying neural networks, and implementing AI-driven solutions that enhance business performance and innovation.
Key Takeaways
Build a strong understanding of AI principles, machine learning, and neural networks.
Learn to process, analyse, and visualise data to uncover meaningful patterns.
Apply machine learning techniques to model data and generate actionable insights.
Design and train neural networks for NLP, computer vision, and predictive tasks.
Evaluate AI models, refine performance, and solve practical industry problems.
Understand ethical AI practices, governance, and the importance of responsible innovation.
Deploy AI solutions and projects to showcase skills in real-world scenarios.
Thousands of Learners Across the Globe
Careers in Artificial Intelligence
R494,956
Average Salary (SA)
170 Million(by 2030)
Job Openings Globally
$244 Billion
Global Market Value
88% Organisations
Use AI to Automate
See where AI skills can take you in the current job market
Machine Learning EngineerData ScientistAI Research ScientistAI EngineerRobotics EngineerComputer Vision EngineerNatural Language Processing EngineerAI Product ManagerAI Ethics SpecialistBusiness Intelligence (BI) Developer
Student Reviews
View more
Olukunle Oyewole
Flexible class timings and excellent facilitators who are always punctual.
Andrew Majav
Product Manager
I studied AI with Digital Regenesys, and I currently work as a project manager. The concepts were explained clearly, with practical examples that made learning engaging and relevant. This programme has significantly improved my understanding of AI and its impact on modern business.
Makotseng Selale
Operations Manager
The AI course I completed with Digital Regenesys was truly transformative. It provided me with practical insights that I’ve applied directly to incident management through data-driven analysis. One of the most valuable skills I gained was EDA, which has significantly improved our operational processes.
Ismail Alarape Adewumi
IT Professional
I found the learning experience extremely valuable and practical. The concepts were explained in a clear and structured way, even for someone without a strong technical background. What I liked most was the focus on real-world applications of artificial intelligence, which helped me understand how AI is actually used i...
Ekisa Ephraim
AI Professional
Digital Regenesys has helped me build a strong foundation in programming, which is essential for advancing into more complex areas of Artificial Intelligence. It has also boosted my confidence in applying digital skills to both my career and entrepreneurial projects.
I studied AI with Digital Regenesys, and I currently work as a project manager. The concepts were explained clearly, with practical examples that made learning engaging and relevant. This programme has significantly improved my understanding of AI and its impact on modern business.
Andrew Majav
Product Manager
The AI course I completed with Digital Regenesys was truly transformative. It provided me with practical insights that I’ve applied directly to incident management through data-driven analysis. One of the most valuable skills I gained was EDA, which has significantly improved our operational processes.
Makotseng Selale
Operations Manager
Meet Our Expert Faculty
Ms. Priya Shetty
14 Years of Experience
Ms. Vrushali Sarwan
8 Years of Experience
Ms. Rabiya Kulsum
8 Years of Experience
Ms. Maliha Khakhu
6 Years of Experience
Ms. Priya Shetty
14 Years of Experience
Ms. Vrushali Sarwan
8 Years of Experience
Ms. Rabiya Kulsum
8 Years of Experience
Ms. Maliha Khakhu
6 Years of Experience
Course Fees
Including taxes
R 52,000R 59,800
15% off
Related Courses
AI Leadership
20 Tools Covered
5000+ AlumniArtificial Intelligence Course FAQs
What is an Artificial Intelligence course?
Why should I take an Artificial Intelligence course?
What will I learn in an Artificial Intelligence course?
Who can pursue an Artificial Intelligence course?
Do I need a background in programming to enrol in an Artificial Intelligence course?
How do I enrol and register for the Digital Regenesys Artificial Intelligence Course?
Which tools are covered in the Artificial Intelligence course?
Why use AI tools in development?
What programming languages are commonly used with AI tools?
How long does it take to complete the Digital Regenesys Artificial Intelligence course?
How often are the sessions held in the Artificial Intelligence course?
How long do I have access to the LMS after starting the course?
Are Artificial Intelligence courses available online?
Do I get a certificate after completing the course?
Can this AI course help my career?
Only 5 seats left
Loading form...
Limited Seats Left !!
Artificial Intelligence Online Course
South Africa Corporate Office
165 west Street, Sandton, Johannesburg South Africa, 2031
Nigeria Corporate Office
8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria
India Corporate Office
Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705
Kenya Corporate Office
1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya
Croatia Corporate Office
SV. Bartula 131, 23000 Kozino, Zadar, Croatia
Uganda Corporate Office
2nd Floor, Wing A Mirembe Business Center Plot 46, Lugogo Bypass, Kampala P.O. Box 75391
Tanzania Corporate Office
2nd Floor, Ocean Residence Building, Plot 418, Toure Drive, Masaki, Dar Es Salaam, Tanzania
Botswana Corporate Office
9W24+J7P, iTowers North, CBD, Gaborone, Botswana
Zambia Corporate Office
6th floor, Mass Media, ZEP-RE Business Park, Alick Nkhata Rd, Lusaka 10101, Zambia
Zimbabwe Corporate Office
Eight2Five, Fourth Floor, Three Anchor House, Jason Moyo Avenue, CBD, Harare, Zimbabwe
Mauritius Corporate Office
SF201 E, The Factory Building, Vivea Business Park, Moka, Mauritius
South Africa Corporate Office
165 west Street, Sandton, Johannesburg South Africa, 2031
Nigeria Corporate Office
8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria
India Corporate Office
Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705
Kenya Corporate Office
1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya
Croatia Corporate Office
SV. Bartula 131, 23000 Kozino, Zadar, Croatia
Uganda Corporate Office
2nd Floor, Wing A Mirembe Business Center Plot 46, Lugogo Bypass, Kampala P.O. Box 75391
Tanzania Corporate Office
2nd Floor, Ocean Residence Building, Plot 418, Toure Drive, Masaki, Dar Es Salaam, Tanzania
Botswana Corporate Office
9W24+J7P, iTowers North, CBD, Gaborone, Botswana
Zambia Corporate Office
6th floor, Mass Media, ZEP-RE Business Park, Alick Nkhata Rd, Lusaka 10101, Zambia
Zimbabwe Corporate Office
Eight2Five, Fourth Floor, Three Anchor House, Jason Moyo Avenue, CBD, Harare, Zimbabwe
Mauritius Corporate Office
SF201 E, The Factory Building, Vivea Business Park, Moka, Mauritius
