Advanced Certificate Program in Generative AI & Machine Learning

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Course Overview : Professional Certificate Program in Generative AI and Machine Learning

The Generative AI and Machine Learning program equips you with essential skills in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, and computer vision. Focused on practical application, the course offers live virtual sessions, hands-on projects with integrated labs, and masterclasses led by industry experts to prepare you for real-world AI challenges.

Key Features

  • Program Completion Certificate

    Earn a recognized certificate upon successful completion of the program.

  • Live Expert-Led Sessions

    Learn from experienced industry professionals through interactive virtual classrooms.

  • Cutting-Edge AI Exposure

    Gain hands-on experience with the latest AI technologies, including generative AI, LLMs, and prompt engineering.

  • Interactive Masterclasses

    Participate in live masterclasses led by expert faculty and industry specialists.

  • Hands-On Projects

    Build practical skills through 15+ real-world projects using industry-relevant tools.

  • AI Tool Access

    Work with a wide range of AI tools such as ChatGPT, DALL-E 2, TensorFlow, Keras, and more.

  • Official Recognition

    Earn official badges and trophies for completing Microsoft Azure AI Fundamentals on the Microsoft Learn platform.

Skills Covered

  • Generative AI
  • Prompt Engineering
  • Large Language Models
  • Generative AI Architectures
  • Generative AI Models
  • Machine Learning Algorithms
  • Model Training and Optimization
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Supervised and Unsupervised Learning
  • Model Evaluation and Validation

Career Benefits of Advanced Certificate Program in Generative AI & Machine Learning

This Generative AI and Machine Learning program combines structured learning with real-world projects, empowering you to lead in an AI-driven future. Gain hands-on experience that keeps you ahead in the rapidly evolving world of artificial intelligence.

Transform Your Career with Generative AI

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.

$2500

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 Program in Generative AI and Machine Learning

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

  • A bachelor’s degree with an average of 50% or higher
  • 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 Program in Generative AI and Machine Learning

Section 01: IG AI: Program Induction

1.01 Embark on a comprehensive learning adventure with our Generative AI and Machine Learning Certificate Program.
1.02 Delve into the essential concepts of generative AI and machine learning, equipping yourself with the knowledge and skills needed to launch your career in this dynamic field.

1.01 Commence your educational endeavor with our Generative AI and Machine Learning certificate course
1.02 Immerse yourself in a distinctive and comprehensive learning experience designed to delve into every facet of the generative AI and machine learning domain
1.03 Gain the essential foundation required to launch your career ambitiously

2.01 Installation of Python and IDE
2.02 Mastery in utilizing Jupyter Notebook
2.03 Implementation of identifiers, indentations, and comments
2.04 Identification of Python data types and operators
2.05 Understanding different types of Python loops
2.06 Exploration of variable scope within functions

3.01 Introduction to data science and its practical applications
3.02 Grasp the essentials of NumPy
3.03 Investigation into array indexing and slicing techniques
3.04 Application of linear algebra principles in data analysis
3.05 Calculation of central tendency and dispersion measures
3.06 Explanation of null and alternative hypotheses
3.07 Exploration of various hypothesis testing methods including Z-test and T-test
3.08 Understanding the concept of ANOVA (Analysis of Variance)
3.09 Utilization of Pandas for data loading, indexing, reindexing, and merging
3.10 Data preparation, formatting, normalization, and standardization through data binning
3.11 Creation of graphical representations using Matplotlib, Seaborn, Plotly, and Bokeh

4.01 Investigate the machine learning pipeline
4.02 Learn about supervised learning and its applications
4.03 Understand methods to identify and prevent overfitting and underfitting
4.04 Visualize variable linearity using correlation maps
4.05 Explore classification algorithms and their practical usage
4.06 Master various unsupervised learning techniques
4.07 Recognize suitable scenarios for unsupervised algorithms and types of clustering
4.08 Develop a recommendation engine using PyTorch

5.01 Differentiate between deep learning and machine learning
5.02 Understand neural networks, including forward and backward propagation
5.03 Utilize TensorFlow 2 and Keras for model development
5.04 Enhance model performance and interpret results effectively
5.05 Explore convolutional neural networks (CNNs) and transfer learning for object detection
5.06 Learn about recurrent neural networks (RNNs) and autoencoders

6.01 Cutting-edge knowledge: Explore generative AI, prompt engineering, and ChatGPT
6.02 Hands-on skills: Gain practical insights into real-world business applications
6.03 Effective GenAI utilization: Learn to apply Generative AI effectively in various scenarios
6.04 Master prompt engineering: Understand its importance in crafting customized outputs

7.01 Transformers' significance in modern AI
7.02 Neural networks' suitability for generative tasks
7.03 Differentiate generative model types: VAEs, GANs, transformers, autoencoders
7.04 Appropriate scenarios for diverse generative AI models
7.05 Assess attention mechanisms' efficacy in generative tasks
7.06 Analyze GPT and BERT, contrasting their architectural goals in generative AI
7.07 Langchain and Workflow Design
7.08 Advanced Prompt Engineering Techniques
7.09 LLM Application Development
7.10 LLM Fine-Tuning and Customization
7.11 Benchmarking and Evaluation of LLM Capabilities

8.01 Participants embark on a capstone project to put newfound skills into action
8.02 With guidance from mentors, they tackle real industry challenges head-on
8.03 This project serves as a chance to showcase abilities to potential employers in a real-world context

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

IG AI: NLP and Speech Recognition

  • Explore machine learning algorithms for natural language processing
  • Focus on comprehension, feature design, and generation
  • Learn automated speech recognition and conversion techniques
  • Develop voice assistance tools, including Alexa skills creation
  • Emphasize practical application and implementation

IG AI: Reinforcement Learning

  • Understand foundational principles of reinforcement learning (RL)
  • Explore various RL approaches using Python and TensorFlow
  • Learn to apply RL techniques and algorithms for problem-solving
  • Gain practical experience in tackling RL challenges

IG AI: Microsoft Azzure Fundamentals

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of generative AI workloads on Azure

IG AI: Industry Masterclass

  • Attend online interactive masterclasses delivered by industry leaders
  • Master skills to make data-driven decisions, extract business insights, and predict future trends

Advanced Certificate Program in Generative AI & Machine Learning Projects

Project 1 – Sports Platform Optimization

Design and develop a backend system for a sports digital platform to manage player statistics, match schedules, and ticket bookings. Implement automated reporting to improve operational efficiency and enhance user experience.

Build backend modules for an educational technology platform to manage learner profiles, courses, and progress tracking. Enhance platform functionality to deliver a seamless learning experience.

Analyze sales data across different regions to identify top-performing and underperforming markets. Develop targeted sales strategies to boost revenue and optimize business performance.

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 Advanced Certificate Program in Generative AI & Machine Learning
THIS CERTIFICATE IS AWARDED TO
Your Name
FOR SUCCESSFUL PARTICIPATION IN
Advanced Certificate Program in Generative AI & Machine Learning
Issued By NVidya
Certificate ID __________
Date __________

Success Stories

Sahana Lim
Sahana Lim

“"This program transformed our approach to corporate learning and AI implementation."”

" "The Generative AI and Machine Learning course offered live sessions and hands-on projects that allowed my team to apply AI solutions directly to our business processes. It enhanced efficiency, innovation, and decision-making across departments, making it an invaluable corporate learning experience."

Faisal Khatri
Faisal Khatri

“"Finally, a course that connects AI to real business results."”

"The mix of live classes, real-world case studies, and practical projects made it easy for my team to adopt AI strategies that actually work. We automated key processes, improved decision-making, and even found new opportunities for growth. Highly practical and inspiring!"

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 a Generative AI and Machine Learning program?

A Generative AI and Machine Learning program is designed to equip learners with skills to create and deploy AI models. It covers techniques like natural language processing, transformers, and generative models, along with programming, statistics, and data visualization. The course includes hands-on projects to help professionals apply AI solutions in real-world business scenarios.

An AI specialist builds and implements intelligent systems using machine learning, data analysis, and AI algorithms. They solve complex problems, optimize AI models, and integrate AI into applications across industries, while collaborating with teams to achieve business goals efficiently.

A professional certificate in Generative AI boosts career prospects by teaching skills to develop and deploy advanced AI models. It provides practical experience with AI tools, enhances expertise in emerging technologies, and equips professionals to stay competitive in AI-focused roles.

Candidates should have a bachelor’s degree with at least 50% marks, foundational knowledge of programming and mathematics, and preferably two or more years of work experience to benefit fully from the program.

The trainers bring extensive industry experience and practical knowledge in AI and machine learning. They simplify complex concepts, provide actionable insights, and guide learners through hands-on projects to ensure a comprehensive and applicable understanding of generative AI.

Enrollment involves submitting an application highlighting your interest, getting shortlisted by an admission panel, and paying the course fee. Once selected, learners can start the program within one to two weeks and begin their AI learning journey.

After earning a professional certificate in Generative AI, you can pursue roles such as GenAI Engineer, ML Engineer, AI Research Scientist, AI Solutions Architect, AI Product Manager, and AI Consultant. Approximate salary ranges for these roles are:

  • GenAI Engineer – ₹28 LPA
  • ML Engineer – ₹14 LPA
  • AI Research Scientist – ₹12 LPA
  • AI Solutions Architect – ₹37 LPA
  • AI Product Manager – ₹26.1 LPA
  • AI Consultant – ₹18 LPA

Yes, Nvidya provides tailored corporate training programs to equip teams with AI and digital skills. These programs include certifications, customized learning paths, and interactive sessions to help organizations upskill their workforce. Nvidya’s curriculum consultants work closely with companies to design and implement the most suitable learning solutions for their employees.

No, missing a live class will not prevent you from completing the program. Nvidya offers recorded sessions of all classes, allowing learners to catch up at their convenience. You can watch the recordings on the Nvidya learning platform, ensuring you stay on track and complete all course requirements.

Completing this program opens up career opportunities such as Machine Learning Engineer, AI Research Scientist, Data Scientist, AI Solutions Architect, or AI Product Manager. You’ll gain skills to develop AI models, analyze complex data, and drive innovation across industries like technology, healthcare, finance, and entertainment.

Nvidya provides 24/7 support for learners through chat and email for any urgent issues. You can also access guidance on assignments, project queries, and technical problems anytime, ensuring a smooth and uninterrupted learning experience.

Some of the most widely used Generative AI tools include GPT-4 for natural language processing and content generation, DALL·E 2 for image creation from text prompts, BERT for understanding language context, MidJourney for AI-driven art creation, and RunwayML for video generation and editing. Nvidya’s Generative AI and Machine Learning program provides in-depth training on these tools, helping learners apply them in creative and technical projects.

To start learning Generative AI, you can enroll in Nvidya’s Generative AI and Machine Learning certification program. The program begins with foundational machine learning and deep learning concepts, then advances to cover Generative AI methodologies such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and practical tools like GPT-4 and DALL·E 2. Hands-on projects and assignments ensure you gain practical experience and build a strong portfolio.

Yes, Nvidya offers a professional certification in Generative AI through its AI and Machine Learning program. This credential validates your knowledge of key AI concepts, tools, and Gen AI techniques, making it a strong addition to your professional profile for career growth in AI-related roles.

Absolutely. Nvidya provides a wide range of AI & Machine Learning courses, including advanced certifications and specialized programs to sharpen specific skills. You can explore courses in AI and ML Certification, Machine Learning, Business Transformation, and Introduction to Generative AI Studio. These courses help learners stay updated with the latest AI trends and tools.

Yes. Learners are eligible for one complimentary cohort change within the first 60 days of enrollment. If you need an additional cohort change or have already used the complimentary option, you can request a transfer by paying a nominal fee. Nvidya’s support team assists you throughout the process to ensure a smooth transition.

Yes. If your program access has expired but you still have pending assignments or projects, Nvidya allows you to request an extension of either 30 days or 3 months by paying a small fee. During this period, you can access recorded sessions and complete all remaining learning requirements.

Yes, Nvidya’s Applied AI course is offered through a third-party collaboration with E & ICT Academy along with IIT Kanpur 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.