Professional Certificate in AI and Machine Learning

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Course Overview : Professional Certificate in AI and Machine Learning

Advance your career in AI by mastering Machine Learning, Generative AI, and Python-driven Deep Learning. Build practical expertise through real-world projects and acquire high-demand skills in AI automation, LLM applications, and agentic frameworks. Stay at the forefront of AI innovation and equip yourself for the future of technology—begin your journey now.

Key Features

  • Career Support

    Get noticed by top hiring companies with dedicated career assistance.

  • Program Completion Certificate

    Earn a recognized certificate upon successful completion of the program.

  • Hands-On AI Exposure

    Gain practical experience with ChatGPT, LLM-based AI solutions, and other AI applications.

  • Live Interactive Sessions

    Learn the latest AI trends, including generative AI, prompt engineering, and more, through live classes.

  • Expert-Led Curriculum

    Core content delivered by seasoned industry professionals in live virtual sessions.

  • Capstone & Projects

    Complete 3 capstone projects and 15+ hands-on projects across multiple industry domains.

  • Masterclasses by Experts

    Attend live-online masterclasses delivered by AI industry leaders and specialists.

  • Alumni Recognition

    Earn exclusive alumni status on successful program completion.

  • Hackathons & AMA Sessions

    Participate in special hackathons and Ask-Me-Anything sessions with AI experts.

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Conversational AI
  • Large Language Models
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Speech Recognition
  • Machine Learning Algorithms
  • Agentic Frameworks

Career Benefits of Professional Certificate in AI and Machine Learning

Boost your career by mastering in-demand AI and ML skills, including generative AI, LLMs, and Python-based applications. Gain hands-on experience and industry-relevant expertise to stand out in AI-driven roles and leadership opportunities.

Master AI and ML skills to stay ahead in the rapidly evolving tech landscape

Instructor-led
Learn from expert instructors in live, online sessions.
Get 24/7 learner support and access two full-length mock exams.
Choose a schedule that fits your availability.

$4527

Corporate Training
Choose from flexible pricing and billing options.
Join private cohorts tailored to your teams.
Track your training progress with intuitive dashboards.
Assess and benchmark your skills easily. Integrate seamlessly with your existing platforms.
Get support from a dedicated Customer Success Manager

Eligibility for Professional Certificate in AI and Machine Learning

To enroll in the Professional Certificate in AI and Machine Learning Program, participants should meet the following criteria:

  • 18 years old, or at least high school diploma
  • Minimum of 2+ years of professional work experience
  • Basic understanding of mathematics and programming concepts

Prerequisites

  • Basic understanding of mathematics and programming concepts
  • A general interest in AI, programming, and problem-solving is helpful

Course Content: Professional Certificate in AI and Machine Learning

Section 1: PC AIML – Program Induction

1.01 Discover the principles of AI automation, analysis, and more. This course, offered in collaboration with Purdue University Online, is the perfect starting point for your AI and ML journey.

2.01 Procedural & OOP Understanding
2.02 Python’s Advantages Exploration
2.03 Jupyter Notebook Utilization
2.04 Implementing Identifiers, Indentations, Comments
2.05 Python Data Types, Operators, Strings
2.06 Mastery of Python Loops
2.07 OOP Principles Comprehension (Methods, Attributes, Access Modifiers)

3.01 Python Fundamentals: Strings, Lambda Functions, and Lists
3.02 NumPy for Array Manipulation
3.03 Linear Algebra Basics
3.04 Statistical Concepts: Central Tendency, Dispersion, Skewness, Covariance, Correlation

4.01 ML Fundamentals – Introduction to algorithms and real-world applications

5.01 Deep Learning vs. Machine Learning
5.02 Fundamental Concepts & Applications
5.03 Neural Networks, Propagation, TensorFlow 2, and Keras
5.04 Performance Enhancement & Model Interpretability Techniques

6.01 Transformer Algorithms
6.02 GANs and VAE
6.03 ChatGPT Models
6.04 Large Language Models (LLMs)
6.05 Neural Networks

7.01 Introduction to Generative AI
7.02 Capabilities of Generative AI
7.03 Tools for Text Generation
7.04 Tools for Audio and Video Generation

8.01 Understanding Deep Learning and LLMs
8.02 Introduction to Foundation Models
8.03 Pre-trained Models: Text-to-Text, Text-to-Image, Text-to-Code Generation
8.04 Hands-on Lab: Develop AI Applications with Foundation Models

9.01 Apply the skills gained to solve real-world industry challenges
9.02 Hands-On Implementation of AI and ML solutions

PC AIML – NLP and Speech Recognition

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

PC AIML – Advanced Generative AI

  • Understanding the role of transformers in modern AI
  • 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

PC AIML – Prompt Engineering Essentials by IBM

  • Getting to know our AI prompting tool
  • Common prompt engineering tools
  • The chain-of-thought approach in prompt engineering

PC AIML – Academic Masterclass by Purdue University Online

  • Attend an online interactive masterclass
  • Insights on advancements in Data Science, AI, and Machine Learning

PC AIML – Industry Masterclass by IBM

  • Attend online live sessions by industry experts
  • Learn about generative AI applications and modeling
  • Building and deploying GPT-powered applications
  • ChatGPT architecture, training, and business applications

PC AIML – Agentic AI Masterclass

  • Deep dive into autonomous AI agents
  • Planning, reasoning, and executing complex tasks
  • Designing, building, and deploying AI-driven agents

IG AI – ADL & Computer Vision

  • Attain a thorough understanding of computer vision
  • Develop expertise in complex neural network architectures
  • Learn image creation and manipulation techniques
  • Explore CNNs for essential image analysis
  • Master object recognition and localization using CNNs
  • Apply OCR methods for document digitization
  • Gain insights into eXplainable AI (XAI) techniques
  • Efficiently deploy deep learning models

Professional Certificate in AI and Machine Learning Projects

Project 1 – E-commerce App Development

Build a fully functional shopping application for an e-commerce platform using Python, implementing features like product listings, cart management, and secure checkout.

Apply data science techniques, including time series forecasting, to predict demand for restaurant menu items, helping a food analytics company optimize inventory and reduce waste.

Perform exploratory data analysis and statistical modeling to uncover key factors driving customer acquisition for a retail business, enabling data-driven marketing and sales strategies.

Exam & Certification FAQs

What career growth resources does Nvidya provide for learners?

Nvidya offers comprehensive career support, including:

  • Access to workshops, networking tools, and community support
  • A smart tracker and job board to stay ahead in your job hunt
  • An AI Resume Builder to create ATS-friendly resumes
  • An AI-powered Mock Interview Coach for anytime practice
  • Guidance on the latest industry trends to keep your skills relevant

The application involves three easy steps:

  1. Submit your application by providing a brief overview of your education and work experience.
  2. Reserve your seat by completing the payment for admission.
  3. Once selected, you can start the program within 1 to 2 weeks.

Selected candidates will receive an admission offer, which must be accepted by paying the admission fee to confirm their place.

Our program alumni have been hired by top global companies such as Netflix, Amazon, Google, Bosch, Microsoft, Apple, LinkedIn, EY, Accenture, and Deloitte.

The program covers over 13 essential tools and platforms, including:

  • Python
  • ChatGPT
  • OpenAI
  • Hugging Face
  • Gemini
  • Microsoft Copilot
  • Azure AI Studio
  • DALL·E 2
  • LangChain
  • Gradio
  • Streamlit
  • Stability AI
  • Jupyter Notebook
CERTIFICATE FOR Professional Certificate in AI and Machine Learning
THIS CERTIFICATE IS AWARDED TO
Your Name
FOR SUCCESSFUL PARTICIPATION IN
Professional Certificate in AI and Machine Learning
Issued By NVidya
Certificate ID __________
Date __________

Success Stories

Arjun Mehta
Arjun Mehta

“Finally, AI made sense!"”

"This course isn’t just theory—it’s a playground for experimentation. The projects were fun, challenging, and immediately applicable at work. I now confidently implement AI solutions instead of just reading about them."

Leila Hassan
Leila Hassan

“"From curious to capable in weeks!"”

"I loved how the course blended hands-on projects with real-world problem solving. It turned abstract AI concepts into actionable skills I use every day, giving my career a serious boost."

Why Choose This Program?

Develop In-Demand Skills

Gain practical expertise crafted with industry and academic input.

Learn from Seasoned Professionals

Learn from seasoned professionals sharing real-world insights and case studies.

Engage in Applied Learning

Build skills through hands-on projects with real data and virtual labs.

Benefit from Continuous Support

Enjoy 24/7 access to mentors and a supportive learning community.

Frequently Asked Questions

What is Artificial Intelligence (AI) and Machine Learning (ML)?

Artificial Intelligence (AI) refers to the ability of machines to perform tasks that usually require human intelligence, such as problem-solving, decision-making, and understanding natural language. Machine Learning (ML) is a branch of AI that focuses on building algorithms that learn from data to improve performance over time. While AI is about creating intelligent systems, ML emphasizes extracting insights from data and making data-driven predictions.

Enrolling is straightforward:

  1. Fill out the online application form on Nvidya’s website.
  2. The admissions team reviews your application and shortlists eligible candidates.
  3. Once selected, you confirm your enrolment by paying the program fee. After payment, you’ll receive access credentials to start your learning journey.

Nvidya provides dedicated Global Teaching Assistants—experienced AI & ML professionals who guide you through the course. They help clarify concepts, assist with assignments, provide career advice, and ensure you stay on track throughout your learning.

Yes. Nvidya’s AI & ML certification is eligible for employer tuition reimbursement. You can submit your course completion certificate along with detailed receipts and syllabus documents to your HR department for reimbursement.

Yes. Nvidya offers flexible payment options, including low-interest EMI plans, allowing learners to pay the course fee in installments without financial stress.

  • Cutting-Edge Knowledge: Learn the latest AI and ML technologies.
  • Career Advancement: Access high-demand job opportunities in AI.
  • Higher Earnings: Boost your marketable skills and earning potential.
  • Hands-On Experience: Work on real-world projects to apply your learning.
  • Expert Guidance: Learn from industry experts and experienced instructors.
  • Networking Opportunities: Connect with peers, mentors, and AI professionals.

Yes. AI and ML expertise is highly valued across industries such as healthcare, finance, e-commerce, retail, and automotive. Professionals with these skills can automate workflows, generate insights from data, and create innovative AI solutions, making it a rewarding and future-ready career path.

To pursue a career as an AI & ML engineer:

  1. Build a strong foundation in programming, mathematics, and computer science.
  2. Complete a professional AI & ML certification program like Nvidya’s.
  3. Gain practical experience through hands-on projects.
  4. Keep learning advanced concepts and stay updated with AI innovations.

The AI & ML job market is growing rapidly. Organizations across healthcare, technology, automotive, and retail sectors are actively hiring skilled AI professionals. With AI adoption increasing, certified experts are in high demand. The global AI market is projected to reach $1,771 billion by 2032, highlighting long-term career opportunities.

Average salaries for AI & ML professionals after certification:

  • India: ₹8.45 Lakhs per year
  • USA: $175,262 per year

Completing Nvidya’s AI & ML certification equips you with in-demand skills, boosting your earning potential significantly.

Graduates can pursue diverse roles, including:

  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Business Intelligence Developer
  • Robotics Engineer
  • Software Engineer

These roles involve designing ML models, analyzing data, and implementing AI-driven solutions across multiple industries.

Python is the most popular language for AI and ML due to its simplicity, readability, and extensive library ecosystem, including TensorFlow, Keras, and scikit-learn. R is also useful, especially for statistical analysis and data visualization. Nvidya’s AI & ML course equips you with hands-on experience in these languages to implement real-world projects effectively.

Yes. A strong coding foundation is crucial for a successful career in AI & ML. Nvidya’s program teaches coding essentials and prepares you to handle complex algorithms, scalable projects, and AI integrations efficiently.

The masterclasses cover the latest AI advancements, including:

  • Generative AI and its practical applications
  • ChatGPT architecture, best practices, and business use cases
  • OpenAI technologies and their real-world impact
  • AI-powered chatbots used by major companies like Microsoft, Google, and Meta
  • Emerging AI trends shaping the industry

Learners receive 24/7 support via email, chat, and calls. In addition, lifetime access to Nvidya’s community forums allows ongoing interaction with instructors and peers even after course completion.

Trainers at Nvidya are industry experts with deep experience in AI and ML. They provide practical guidance, clarify concepts, and share real-world insights to ensure learners acquire skills that are directly applicable in professional roles.

Yes. Nvidya offers a variety of specialized programs, including:

  • Generative AI for Business Transformation
  • Machine Learning using Python
  • Artificial Intelligence Engineer
  • AI certifications for Microsoft Azure
  • Specialized Generative AI programs

All live sessions are recorded. You can watch them anytime on Nvidya’s platform, ensuring you stay on track and complete the course without missing key lessons.

AI engineers design, develop, and implement AI-based solutions to tackle complex problems. They work with machine learning models, neural networks, and data analytics to create intelligent systems, often collaborating with data scientists and software engineers.

Graduates can pursue roles such as:

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • AI Consultant
  • Business Intelligence Developer

Salaries for AI & ML professionals are competitive worldwide:

  • United States: Approximately $125,000 per year on average
  • India: Competitive packages based on experience and skill level

Completing Nvidya’s program enhances your industry-relevant skills, improving earning potential.

The course is ideal for:

  • Analytical managers overseeing teams
  • Data architects exploring AI systems
  • Data analysts expanding into machine learning
  • Professionals considering AI or ML as a career
  • Experts seeking to integrate AI into their field

Learners earn a professional AI & ML certification from Nvidya, validating their expertise in artificial intelligence and machine learning.

Yes. You can request one complimentary cohort change within the first 60 days of enrollment. Additional changes can be made by paying the applicable fee.

Yes. If you require additional time to complete the course, you can request an extension of 30 days or 3 months by paying a nominal fee. During this period, you retain access to recorded sessions and remaining learning resources.

Yes, Nvidya’s Applied AI course is offered through a third-party collaboration with PURDUE university, a renowned academic institution recognized for its excellence in technology and engineering education. This partnership ensures you gain access to a high-quality curriculum that combines strong academic foundations with practical industry insights.