Duration:
3 Months
Cohort Start:
7th October 2026
Level:
Program Highlights
Developers
Software developers looking to build intelligent applications using machine learning and Generative AI
Data Analysts
Analysts looking to progress toward advanced analytics and data science responsibilities
Data Scientists
Data professionals looking to strengthen their machine learning and Generative AI capabilities
Cloud Professionals
Cloud and technology professionals interested in AI infrastructure and deployment
AI Practitioners
Professionals already experimenting with AI who want deeper technical knowledge and structured workflows
Career Switchers
Professionals with programming or analytics experience preparing for advanced AI-focused roles
Not sure if you qualify? If you have hands-on experience in any of the roles above, you're eligible. This program does not require prior cybersecurity knowledge — just a working IT background.
Gain practical, industry-ready skills through hands-on projects, guided learning, and real-world applications.
Use advanced Python techniques and data science libraries for analytical and machine learning workflows
Apply statistical methods, feature engineering, and model evaluation techniques
Build and evaluate supervised, unsupervised, and ensemble machine learning models
Understand neural networks, deep learning, embeddings, and modern AI architectures
Build LLM-powered applications using prompting, embeddings, RAG, tools, and structured outputs
Understand AI agents, orchestration, APIs, deployment, monitoring, and responsible AI practices
Explore the modules and topics covered throughout the program.
Strengthen programming and data-processing skills required for advanced data science workflows
Develop stronger statistical reasoning and prepare high-quality datasets for machine learning
Build and evaluate machine learning models using structured development workflows
Understand techniques for discovering patterns and relationships in unlabeled data
Understand the fundamentals of neural networks and modern deep learning workflows
Develop a technical understanding of modern Generative AI systems and their applications
Build knowledge-based AI applications using retrieval and generation techniques
Understand how AI systems can reason across tools, data sources, and multi-step workflows
Build practical AI applications that connect models with software and external services
Understand how machine learning and AI systems move from experimentation into reliable applications
Learn from experienced cybersecurity leaders with decades of industry expertise and real-world enterprise experience.
Mr. Jackson A. Robin
18+ years building businesses, mentoring professionals, and driving technology-led innovation across industries. Passionate about making Artificial Intelligence and Data Science accessible to learners and future technology leaders.
18+ years experience
Dr. Aarav Iyer
AI researcher with over 20 years of experience in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and enterprise AI systems. Has led AI initiatives across healthcare, finance, and technology sectors.
20+ years experience
Ms. Priya Nair
Enterprise AI consultant specializing in Generative AI, AI Agents, cloud AI platforms, and intelligent automation. Passionate about helping professionals build practical AI solutions for real-world business challenges.
15+ years experience
Thousands of students have transformed their skills with our courses. Here’s what they have to say.
Get hands-on exposure to industry-standard cybersecurity tools used by modern security teams.
Programming & Analysis
Machine Learning
Deep Learning
Generative AI
Vector & RAG
AI Deployment
Build practical cybersecurity skills that you can apply confidently in real-world IT environments.
Build and evaluate advanced machine learning models for real-world datasets
Design reliable data preparation, feature engineering, and analytical workflows
Build practical applications using large language models and Generative AI
Implement retrieval-augmented generation workflows for knowledge-based AI applications
Design AI-powered workflows that combine models, APIs, data, and automation
Understand the deployment, monitoring, evaluation, and lifecycle management of AI systems
What you'll receive
Your pathway to cybersecurity careers and globally recognized industry certifications.
Where this course takes you
Data Scientist
Develop statistical and machine learning solutions for complex business and technical problems
Generative AI Engineer
Build applications powered by large language models, retrieval systems, and AI workflows
Machine Learning Engineer
Develop, evaluate, and deploy machine learning models for real-world applications
Data Science Consultant
Translate complex business problems into data-driven models, insights, and solutions
AI Automation Engineer
Design intelligent workflows that combine AI models, APIs, data, and business automation
MLOps / AI Engineer
Build repeatable workflows for deploying, monitoring, and maintaining machine learning and AI systems
Recommended certifications
Find answers to the most common questions about the program, eligibility, and certification.
What is the Advanced Certification in Data Science & Gen AI?
This is a comprehensive certification program designed to help learners build practical skills in Data Science, Machine Learning, Artificial Intelligence, and Generative AI using industry-relevant tools and real-world projects.
Who can enroll in this course?
This advanced certification is designed for students, graduates, working professionals, data analysts, business analysts, software developers, AI enthusiasts, and professionals who already have a basic understanding of Data Science, Machine Learning, or Generative AI and want to deepen their expertise.
Do I need a technical background to join?
Yes. Participants should have foundational knowledge of Data Science, Python, Machine Learning concepts, or Generative AI tools. This program focuses on advanced concepts, practical applications, and industry use cases rather than introductory topics.
What are the prerequisites for this program?
Learners should have a basic understanding of Data Science fundamentals, Python programming, data analysis concepts, and Generative AI tools. Prior exposure to machine learning workflows, data visualization, or AI applications will help participants get the most value from the program.
Is the course conducted online or offline?
The program is delivered through live online instructor-led sessions, allowing participants to learn from anywhere.
What programming languages will I learn?
You will primarily work with Python, one of the most widely used programming languages in Data Science, Machine Learning, and AI.
What tools and technologies are covered in the course?
The program may include Python, Pandas, NumPy, Machine Learning libraries, Data Visualization tools, Generative AI tools, ChatGPT, and other industry-relevant technologies.
Will I learn Generative AI and ChatGPT?
Yes. The curriculum includes Generative AI concepts, prompt engineering, AI applications, and practical use cases using tools like ChatGPT and other modern AI platforms.
Are there any hands-on projects?
Yes. Learners work on practical assignments, case studies, and industry-oriented projects to gain real-world experience.
Will I receive a certificate after completion?
Yes. Participants who successfully complete the course requirements will receive a certification from the academy.
How long is the course?
The duration depends on the batch and curriculum structure. Please check with the admissions team for the latest schedule.
How is this course different from a regular Data Science course?
This program combines traditional Data Science concepts with the latest Generative AI technologies, helping learners stay relevant in today's AI-driven job market.
Will I learn Machine Learning concepts?
Yes. The course covers essential Machine Learning concepts, algorithms, model building, evaluation techniques, and practical applications.
Why should I choose this Data Science & Gen AI certification?
The program focuses on practical learning, live expert-led training, real-world projects, industry-relevant tools, and emerging AI technologies, helping learners build job-ready skills for the future.
Enroll today
Master Data Science, Machine Learning, Deep Learning, Generative AI, AI Agents, and modern enterprise AI development through hands-on projects and expert mentorship.
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