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Post Graduate Program in Generative AI and ML

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Upskill yourself with the world's top-rated Generative AI certifications. This online PG Program in Generative AI and ML in collaboration with the Illinois Institute of Technology helps you learn essential skills in key areas such as machine learning, neural networks, deep learning, natural language processing, prompt engineering, and the latest advancements in AI technologies, with a special focus on architecting and mastering generative AI solutions. Edureka in association with Illinois Tech brings you an unique opportunity to step into the fascinating world of generative AI and build state-of-the-art AI-powered solutions. Learn various in-demand topics such as machine learning, deep learning, natural language processing, prompt engineering, generative AI, LLMs, RAG, agentic AI and many more, directly from industry experts through meticulously designed hands-on use cases.
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Next Batch: Starting on Sat, 31st May
Next Batch: Starting on Sat, 31st May
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Future of Generative AI and ML

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97 M Opportunities

The World Economic Forum reports that AI and ML will generate 97 million new jobs by 2025, predominantly in the tech sector.

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$1.3 Trillion

The generative AI market is set to reach $1.3 trillion over the next 10 years, according to Bloomberg.

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$170K Salary

According to Glassdoor, the average annual salary for a generative AI engineer is $170,062.

About the Post Graduate Program in Generative AI and ML with Illinois Tech

The PGP in AI and ML, a collaborative offering from Edureka and Illinois Tech, is a great opportunity for generative AI and ML enthusiasts to enter the domain. As Chicago’s leading tech university, Illinois Tech stands out as a premier institution for technological and scientific innovation. Renowned for its groundbreaking research, advanced degree programs in STEM fields, and one-of-a-kind experiential learning, Illinois Tech ranks among the top universities in the nation for ensuring students graduate with the future-focused skills they need to be uniquely career-ready.

This certification program will nurture and transform you into a highly skilled generative AI and ML expert.

Enroll in the Post Graduate Program in Generative AI and ML by Edureka in Collaboration with Illinois Tech

  • 6-month online post graduate certification
  • Receive an Illinois Tech accredited certification
  • Instructor-led live online classes
  • 400+ hours of immersive learning
  • 9+ projects, 15+ practical use cases, and 100+ hands-on labs
  • Placement assistance

Certificate

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The actual certificate might slightly differ from the sample certificate

After completing the Post Graduate Program in Generative AI and ML, you will receive an industry-recognized certificate from Edureka in collaboration with Illinois Tech.

Who Can Apply for the Post Graduate Program in Generative AI and ML?

Career Assistance Services

165K USD

Highest salary by one of our learners is USD 165,000, with average being USD 136,000

300+ CAS Sessions

Edureka has conducted 300+ Career Mentoring and CAS webinars for active batches

Job Portal

Get access to a partner-powered job search portal

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Post Graduate Program in Generative AI and ML Alumni Work At

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Generative AI and Machine Learning Program Review

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Shanthababu Pandian

Sr. Data & Analytics Technical Delivery Manager

Actually, speaking since 2016, I am upskilling myself with Edureka related to cutting edge technologies these many years. Each course was really helped and helping my career path. Certainly, I should mention Data Science and AI program

affiliation with IIT GUWAHATI., is the great milestone. It was amazing experience with respect to course modules, flow and way which was designed, especially for working professionals like me. Edureka conducted each module with right expectation, with precious content, and brining industry expert’s inputs. And on top the evaluation process for conducting test for each module was much appreciated, since it extracts the actual essence of individuals understanding on subject matters.

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Rajeshwar Reddy

Director

This is one of the best-designed course, very informative and well paced. I was very pleased with the course. Another favorite part of the course are the online labs. This course is suitable for everyone its a good mix of theory and

practical exercises and specifically the sequence of starting straight away with Python to end Industry Project and also going deeper was a very good way of teaching. I would recommend this course to everyone.

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Gnana Sekhar Vangara

Technology Lead

Edureka's Data science Masters program provided me with a very good mixture of theoretical and practical training. After completion of the course, I got to work on many POC'S and projects that led to a decent pay hike too. Edureka's

training was very informative and practical and the assignments very useful. I can safely say that signing up for Edureka's Data Science training has been a career-changing decision.

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Asmita Dakore

Junior Data scientist

It was very structured LMS and very handy and easy to access and course material is good. It was good experience and Edureka has given me the entire classroom experience which is difficult to achieve in online training.

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Balasubramanya SP

Consultant

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when

I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

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Abdoulaye Barthelemy

Operations Data Management Officer

I joined Eudureka Training's center in April 2020, and still enjoying their variety of online training courses and certifications in diverse areas like in Gen AI & ML, DevOps, Data Science, Web development Cybersecurity and Business

Intelligence.

Post Graduate Program in Generative AI and ML Curriculum

  • Module 1: Python Programming Fundamentals
  • Module 2: Data Structures, Control Flow, and File Operations
  • Module 3: Functions, Object-Oriented Programming, and Exception Handling
  • Module 4: Data Analysis and Visualization

  • Module 1 : Machine Learning - Data Pre-processing and Feature Engineering
  • Module 2 : Supervised Learning - Regression
  • Module 3 : Supervised Learning - Classification
  • Module 4 : Unsupervised Learning
  • Module 5 : Clustering Algorithms and Dimensionality Reduction
  • Module 6 : Ensemble Learning
  • Module 7 : Time Series Analysis and Reinforcement Learning (Self-Paced)
  • Module 8 : Recommender Systems (Self-Paced)
  • End Course Test

  • Module 1 : Neural Networks and Deep Learning Foundation
  • Module 2 : Tuning and Optimizing Deep Neural Networks
  • Module 3 : Convolutional Neural Networks - I
  • Module 4 : Convolutional Neural Networks - II
  • Module 5 : Recurrent Neural Networks
  • Module 6 : Long Short Term Memory (LSTM) Networks

  • Module 1 : Introduction to NLP
  • Module 2 : Text Processing and Feature Engineering
  • Module 3 : Named Entity Recognition (NER) & Parsing
  • Module 4 : Tokenization and Text Encoding
  • Module 5 : Sentiment Analysis Essentials
  • Module 6 : Advanced Sentiment Analysis
  • Module 7 : Neural Language Models
  • Module 8 : Machine Translationac
  • Module 9 : Speech and Multimodal NLP
  • Module 10 : Building Chatbots

  • Module 1 : Introduction to Generative AI
  • Module 2 : Autoencoders and GANs
  • Module 3 : Transformers and Attention Mechanism
  • Module 4 : Small Language Models
  • Module 5 : Prompt Engineering Essentials
  • Module 6 : Advanced Prompting Strategies

  • Module 1 : Introduction to Large Language Models
  • Module 2 : Open Source LLMs and Model Variants
  • Module 3 : Vector Databases
  • Module 4 : Retrieval Augmented Generation (RAG) Techniques
  • Module 5 : LLM Frameworks and Development
  • Module 6 : LLM Application Development
  • Module 7 : Fine-Tuning and Model Adaptation
  • Module 8 : Generative AI Application Deployment
  • Module 9 : Cloud-based Generative AI (Self-Paced)

  • Module 1 : Agentic AI Essentials
  • Module 2 : Agentic AI: Architectures and Design Patterns
  • Module 3 : Working with LangChain and LCEL
  • Module 4 : Building AI Agents with LangGraph
  • Module 5 : Implementing Agentic RAG
  • Module 6 : Developing AI Agents with Phidata
  • Module 7 : Multi Agent Systems with LangGraph and CrewAI
  • Module 8 : Advanced Agent Development with Autogen
  • Module 9 : AI Agent Observability and AgentOPs (Self-Paced)
  • Module 10 : Building AI Agents with No/Low- Code Tools (Self-Paced)

  • Module 1 : AI Pair Programming for Developers
  • Module 2 : AI-Driven Development and Testing
  • Module 3 : Mastering Amazon Q for Developers
  • Module 4 : Generative AI for Developers with Vertex AI

  • Module 1 : Fundamentals of MLOps and LLMOps
  • Module 2 : Infrastructure, Tooling, and Open Source LLMOps
  • Module 3 : Data Management, Model Training, and Best Practices
  • Module 4 : Continuous Integration, Deployment, and Scaling LLMs
  • Module 5 : Monitoring, Governance, and Ethical AI
  • Module 6 : LLM in Production

  • Project

Like the Curriculum?

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9+ Industry Projects for Generative AI and ML Post Graduate Program

Industry projects will be a part of your PGP in AI and ML to consolidate your learning and these will ensure you have the real-world experience to start your career in Generative AI.

Practice 30+ Essential Tools
Get Real-world Experience
Designed by Industry Experts
Beginner
Intermediate
Advance
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Text Summarizer with AI

Live Session

Design and build a user-friendly application leveraging a pre-trained generative AI model to process large text inputs and generate concise, meaningful summaries. This application ...

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AI-Powered Image Caption Generator

Live Session

Develop a functional tool that uses a pre-trained generative AI model to generate descriptive captions for images. This tool should be capable of analyzing the content of an image ...

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911 Data Insights

Live Session

Analyze 911 call data using fundamental data processing techniques to uncover meaningful patterns and trends. This project will involve extracting, cleaning, visualizing, and inter...

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Media Recommender System

Mid Program

Develop and implement a recommendation system that uses user preferences to suggest various types of media. The system should process user inputs, analyze preferences, and evaluate...

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AI Chatbot for Customer Support

Mid Program

Develop a customer service chatbot powered by a pre-trained generative AI model to handle common customer inquiries effectively. The chatbot should provide accurate, context-aware,...

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Hostel Data Insight Analyzer

Mid Program

Leverage machine learning (ML) techniques to analyze hostel booking data and uncover actionable insights into customer preferences and occupancy trends. This project aims to enable...

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AI-powered Finance Analyzer

Capstone

Develop a system that leverages advanced AI algorithms to process and analyze complex financial reports, extracting key insights and concise summaries. The system will enable finan...

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AI-Driven Carbon Reduction Planner

Capstone

Design an AI-powered system that develops customized carbon emission reduction plans tailored to specific cities or industries. By leveraging data analysis and machine learning, th...

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Heart Disease Risk Predictor

Capstone

Develop a predictive model that accurately evaluates the risk of heart disease using patient data, enabling early intervention and personalized care. The system will utilize machin...

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Post Graduate Program in Generative AI and ML Admission Process

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Enrolment Form

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Enrolment Form

You will be required to provide personal, educational, and professional details. Once we receive your details, our Admissions Counselor will reach out to take your candidature further.

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Interview and Offer Letter

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Interview and Offer Letter

A one-on-one chat with our SME to understand your basic knowledge, prior work experience, and your expectations from the course. After your interview assessment, you will receive an offer letter from us.

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Payment & Batch Allotment

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Payment & Batch Allotment

Based on your application form and interview performance, your final fee will be determined. After you make an upfront payment to confirm your batch, you will be given course credentials and your learning journey will begin!

Post Graduate Program in Generative AI and ML by Edureka in collaboration with Illinois Tech Fee

The program fee is
2599 USD
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FAQs

Program Details
Eligibility
Admissions Process
Support

The Generative AI and ML Post Graduate Program equips learners with advanced skills in AI and ML, focusing on deep learning, NLP, computer vision, and generative models. The curriculum emphasizes practical applications, including model training, evaluation, and deployment. Through hands-on projects and a capstone, learners gain real-world experience, preparing them for successful careers in this dynamic field.

As learners progress, they explore key AI concepts like VAEs, diffusion models, self-attention mechanisms, and NLP techniques such as lemmatization. They gain insights into transformers like BERT, T5, and LLaMA, along with GANs like StyleGAN. Additionally, they understand RLHF and innovations like DALL·E, ensuring strong AI expertise.

This Post Graduate Program in generative AI and ML course curriculum is curated by Edureka and approved by Illinois Tech. After completing the course, you will receive a joint certificate of completion from Illinois Institute of Technology & Edureka.

Yes, the Postgraduate Gen AI and ML program covers hands-on experience with large language models (LLMs) and image generation models, focusing on their design and functionality. As learners advance, they become familiar with key AI advancements such as Q-Learning, transfer learning, and fine-tuning pretrained models. They also explore techniques like LoRA, PEFT, latency optimization, and retrieval-augmented generation (RAG), which play a crucial role in enhancing AI performance and efficiency.

In India, a generative AI engineer earns an average salary of ₹7,19,514 per year, with additional cash compensation averaging ₹19,514 (₹2,518–₹49,393). In the US, the average salary is $147,661 annually, with additional compensation of $29,464 ($22,098–$41,249).

This Post Graduate Program in generative AI and ML is an online, live instructor-led training with a 6-month duration.

The Post Graduate Program in generative AI and ML course duration is 6 months. All the live classes will be conducted on weekends.

The mode of teaching for our Post Graduate Program in generative AI and ML is 100% instructor-led live classes.

If you miss a live class, you will get a recording of the generative AI and ML Post Graduate Program classes within the next 12 hours. Apart from this, you will be given 24/7 technical support in case of any queries.

To help you get the best of both your academic and industry experience, the classes in this generative AI and ML Post Graduate Program will be conducted by industry experts.

The classes of this program will be conducted on weekends.

This Post Graduate Program in generative AI and ML will require 8 –10 hours of commitment per week.

This is a non-degree and non-diploma generative AI and ML Post Graduate Program offered jointly by Edureka and Illinois Tech.

Generative AI refers to a category of artificial intelligence that can create new content, such as text, images, music, or even entire videos, by learning from existing data. Unlike traditional AI systems that focus on classification or prediction tasks, generative AI models can generate original outputs that resemble the data they were trained on.

Enrolling in a Post Graduate Program in generative AI and ML enhances your employability by providing you with comprehensive training in generative AI techniques and LLMs. With the increasing demand for skilled professionals, completing such a program opens doors to diverse career opportunities, including roles like generative AI engineer, prompt engineer, AI research scientist, machine learning engineer, and many more.

Upon successfully finishing the various courses in the generative AI and ML Post Graduate Program, you will be awarded with a course completion certificate jointly issued by Illinois Tech and Edureka.

The generative AI and ML Post Graduate Program is valid for a lifetime.

Embarking on your journey in generative AI and machine learning (ML) requires establishing a strong base in fundamental concepts, then advancing into specialized training in generative models.

Edureka's Career Assistance Program supports your job search with: Live career webinars: Insights into the curriculum and hiring expectations. Profile assistance: Expert guidance on creating standout resumes and LinkedIn profiles. Interview prep: Mock interviews, tips, and feedback for HR and technical rounds. 1-on-1 mentoring: Personalized sessions to enhance skills and job readiness. Job search support: Access to portals with global and remote opportunities.

Yes, the program covers integrating Generative AI models with cloud platforms for deployment and scalability.

Candidates interested in generative AI and ML should have an undergraduate degree.

Yes, anyone who is passionate about generative AI and machine learning can enroll in this program. We encourage learners from diverse backgrounds. To enable this, we provide 24x7 support and supervised learning to our learners.

This generative AI and ML Post Graduate Program is suitable for any undergraduate degree holder like BCA, B.Tech, B.E, B.Com, B.Sc, etc., with basic knowledge of any programming language.

The interview will be conducted by a subject matter expert/program faculty member.

After you submit the basic details for this Post Graduate Program in Generative AI and ML, you will be asked to complete a detailed application form to shortlist your screening application. Once your application is shortlisted, you will need to appear for an interview, which will be conducted by a subject matter expert/program faculty member. Based on your profile and interview, if you are selected for admission, you will receive an admission offer letter from Edureka.

You can email the Admissions Office at admissions.pgp@edureka.co or call your admission counselors.

Unlock the Generative AI and ML Post Graduate Program for just ₹2,00,000 (GST included). Take advantage of easy EMI options starting at ₹11,999/month—invest in your future without breaking the bank! For US students, the program is available for just $2,599.

You can attend the live classes of the Post Graduate Program in Generative AI and ML using a laptop/desktop with basic specifications.

No, we don't allow batch changes as they can impact your learning and career goals. Additionally, batches are monitored by the university and are run as per their standards. However, in exceptional and well-rooted cases, reach out to your learning manager with your concern. We will make certain that your concern gets resolved quickly.

Every student enrolling in the Post Graduate Program in Generative AI and ML with Edureka will get multiple doubt-clearing sessions and 1-1 supervised learning sessions. We are committed to helping you learn from the best without facing any trouble.

The Gen AI and ML PG Certification Program addresses ethical challenges in generative AI and machine learning by exploring topics such as fairness, transparency, bias mitigation, data privacy, and the responsible use of AI technologies.

Yes, the program focuses on popular frameworks like PyTorch and TensorFlow, providing hands-on experience in building and deploying machine learning and generative AI models using these tools.

The Capstone Project is a hands-on, real-world project where you apply the skills learned throughout the program to solve a complex problem in generative AI or machine learning, demonstrating your expertise.

This Gen AI and ML PG program for working professionals is tailored to industry demands by focusing on in-demand skills such as deep learning, natural language processing, and cloud integration
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