• Procedural & OOP understanding
• Python's Advantages Exploration
• Jupyter Notebook utilization
• Implementing identifiers, indentations, comments
• Python data types, operators, strings
• Mastery of Python loops
• OOP principles comprehension
• Methods, attributes, access modifiers insight

• Python fundamentals: strings, Lambda functions, and lists
• NumPy for array manipulation 
• Linear algebra basics
• Statistical concepts (central tendency, dispersion, skewness, covariance, correlation)

• Machine learning pipeline
• Supervised learning: regression, classification
• Experience in unsupervised learning: clustering and ensemble modeling
• Evaluation of TensorFlow and Keras frameworks

• Explore deep learning vs. machine learning
• Fundamental concepts & applications covered
• Neural networks, propagation, TensorFlow 2, and Keras
• Performance enhancement & model interpretability techniques

• Transformer Algorithms
• GANs and VAE
• ChatGPT Models
• Large Language Models (LLMs)
• Neural Networks

• Introduction to Generative AI
• Capabilities of Generative AI
• Tools for Text Generation
• Tools for Audio and Video Generation

• Understand Deep Learning and Large Language Models
• Introduction to Foundation Models
• Know about Pre-trained Models: Text-to-Text Generation, Text-to-Image Generation, Text-to-Code Generation
• Hands-on Lab: Develop AI Applications with the Foundation Models

Apply the skills you’ve gained in this capstone project, tackling real-world industry challenges using AI and ML tools learned throughout the program. This hands-on experience will strengthen your expertise and help you stand out to potential employers.

Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, leveraging the power of generative modeling to build innovative products, building and deploying GPT-powered applications. Learn ChatGPT, its architecture, training methodology, and business applications. {*Areas mentioned above are subject to change}

• Advanced ML algorithms for language data
• Focus on natural language understanding
• Feature engineering exploration
• Natural language generation skills
• Automated speech recognition is covered
• Speech-to-text, text-to-speech conversion
• Voice assistance device development
• Building Alexa skills emphasis

• Transformer role in modern AI comprehension
• Neural networks for generation tasks analysis
• Different generative model types: VAEs, GANs, transformers, autoencoders
• Appropriate scenarios for diverse AI models
• Attention mechanisms' role and efficacy
• Analyzing popular generative models: GPT, BERT
• Contrasting model architectures and objectives

• Getting to Know Our AI Prompting Tool
• Common Prompt Engineering Tools
• The Chain-of-Thought Approach in Prompt Engineering

• The Agentic AI Masterclass dives deep into the next evolution of AI—autonomous AI agents that can plan, reason, and execute complex tasks with minimal human intervention
• Learn how to design, build, and deploy AI-driven agents

Applied time series forecasting techniques to help a data analytics firm predict demand trends for various restaurant menu items.

Utilized exploratory data analysis (EDA) and statistical methods to uncover key drivers of customer acquisition for a retail business.

Conducted a feature analysis of water bottles using EDA and statistical tools to evaluate overall product quality and sustainability.

Employed feature engineering to identify critical variables that influence pricing negotiations in the home-buying process.

Performed cluster analysis based on user behavior to generate customized song playlists, enhancing the music discovery experience.

Built a machine learning model to predict employee attrition by analyzing behavioral patterns and work-related factors.

Developed a deep learning system using Convolutional Neural Networks (CNNs) to detect and mitigate human errors in shipping processes.

Created a deep learning model to identify potential loan defaulters, helping financial institutions make secure and informed lending decisions.

Built and deployed a CNN model using TensorFlow Serving to diagnose diabetic retinopathy through distributed training techniques.

Implemented deep learning algorithms to design a facial recognition system capable of identifying signs of genetic disorders.

Analyzed Tesla auto-pilot accident data to assess the impact of autonomous technology on road safety and accident trends.

Used AI to classify images of historical landmarks and performed EDA to build a recommendation system that enhances tourism marketing strategies.

To qualify for this AI and ML course, you should meet the following criteria:
• Be at least 18 years old with a high school diploma
• Have a foundational understanding of programming and mathematics (recommended)
• Two or more years of professional work experience (preferred)

The enrollment process includes three simple steps:
1. Fill out the application with your personal and professional details.
2. Reserve your seat by completing the program fee payment.
3. Begin your learning journey on the assigned cohort start date.

 

Upon enrollment, you'll gain access to:
• A dual certificate from Purdue University Online and Nvidya
• Industry-recognized certifications from IBM and Nvidya
• Purdue University alumni status
• A comprehensive curriculum covering tools and technologies such as ChatGPT, Flask, Django, Keras, and more
• Live sessions and updates on emerging AI trends including generative AI and agentic frameworks

 

Our expert teaching assistants are dedicated to supporting your success—from enrollment to project mentoring and career guidance. They help ensure timely progress and provide valuable hands-on learning experiences to boost your confidence and competence.

We offer flexible financing plans, including EMI options with competitive interest rates and no hidden charges. Refer to the financing section for more details.

 

To become an AI and ML engineer:
• Start with a degree in computer science, data science, or a related discipline
• Learn programming languages like Python or R
• Build expertise in ML algorithms and data analytics
• Gain practical skills through a specialized course and hands-on projects
• Pursue internships or real-world applications to strengthen your portfolio

Key advantages include:
• In-depth knowledge of AI and ML technologies
• Career advancement opportunities
• Higher earning potential
• Practical experience through real-world projects
• Learning from top faculty and industry experts
• Networking with peers and professionals

 

The global AI market is projected to reach $2.74 trillion by 2032, and demand for AI/ML professionals is skyrocketing. Completing a recognized certification can give you a competitive edge in this thriving job market.

 

Salaries vary by location and experience:
• India: AI Engineers earn an average of ₹16.5 LPA
• United States: Average salary is around $160,000 per year

 

Post-certification, you can explore roles like:
• Data Scientist
• Machine Learning Engineer
• AI Research Scientist
• Business Intelligence Developer
• Robotics Engineer
• AI Consultant
• Software Engineer
• AI Product Manager
These roles require a mix of analytical thinking, AI tool proficiency, and practical implementation—all covered in this course.

 

Python is the most preferred language for AI and ML, known for its simplicity and robust libraries (e.g., TensorFlow, scikit-learn, Keras). R is also popular for statistical analysis and data visualization. This course includes training in both languages to ensure well-rounded skill development.

The course is co-developed by Purdue University Online and IBM, with faculty-led masterclasses and sessions from IBM professionals. This collaboration ensures both academic rigor and industry relevance.

 

Yes, after completing the program, you’ll gain access to the Purdue Alumni Association, extending your professional network and learning opportunities.

 

• Dual certificate from Purdue and Nvidya
• Learn from top faculty and real-world projects
• Access 20+ tools and 10+ essential skills
• Flexible online format with live classes and recordings
• Collaborative learning with motivated peers

 

Yes, a solid foundation in coding is essential for careers in AI and ML. This course provides the necessary training to build and strengthen your programming skills.

Absolutely. AI and ML are rapidly growing fields with applications across virtually every industry. With increasing automation and data-driven decision-making, professionals in these areas enjoy strong demand, high salaries, and fulfilling work.

 

The masterclasses cover cutting-edge topics such as:
• Generative AI and real-world applications
• OpenAI’s role in NLP and GPT models
• Building applications with ChatGPT and OpenAI API
• Chatbot technology across major tech firms
• Explainable AI
• Trends and innovations in AI
(Note: Topics may vary based on current trends.)

 

We provide round-the-clock support via email, chat, and phone. You’ll also have lifetime access to the community forum, where you can seek help and share insights.

 

Only top-rated and experienced trainers are selected through a rigorous evaluation process. Continuous feedback ensures that only the best remain in our faculty lineup.

 

Yes, Nvidya offers tailored corporate training solutions for companies of all sizes. From certification tracks to custom learning paths and unlimited learning hubs, we support employee upskilling at scale.

In addition to the Post Graduate Program, we offer:
• Advanced AI Certification Courses
• Business Transformation in AI
• AI Bootcamps
• Introduction to Artificial Intelligence
Whether you’re looking to specialize or build foundational knowledge, we have the right course for you.

No worries—our ‘Flexi-Learn’ feature allows you to watch recorded sessions of any missed class at your convenience, so you never fall behind.