Professional Certificate Program in Generative AI and Machine Learning
Learn from IIT faculty and industry experts
- Attend masterclasses delivered by IITG faculty
- Experience campus immersion at IIT Guwahati
- Get 'Exec Alumni Status' from E&ICT Academy, IITG
Admission Date
Announcing SoonProgram duration
11 monthsLearning Format
Live, Online, Interactive
Why Join this Program
Earn an Elite CertificateReceive a certificate of program completion from E&ICT Academy, IIT Guwahati
Unlock Exclusive OpportunitiesEngage in ask-me-anything sessions and hackathons by IBM, and a campus immersion at IIT Guwahati
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Experience Hands-on LearningApplied learning through 25+ hands-on projects and 15+ tools with seamless access to integrated labs
Master Modern GenAI ToolsExposure to ChatGPT, Hugging Face, DALL-E 2, Gemini, and other prominent tools
Generative AI and Machine Learning Overview
The Generative AI and Machine Learning course enriches your career journey with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it offers live virtual sessions, projects with integrated labs, and masterclasses by IIT Guwahati faculty.
Key Features
- Program completion certificate from E&ICT Academy, IIT Guwahati
- Curriculum delivered in live virtual classes by seasoned industry experts
- Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
- Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
Generative AI and Machine Learning Advantage
With a structured learning approach and industry-relevant projects, this comprehensive GenAI and Machine Learning program will help you transform your career in an AI-driven future. Hands-on learning will enable stay at the forefront of this field.
E&ICT Academy, IIT Guwahati
- E&ICT Academy, IIT Guwahati, will issue the program certificate directly within 90 days of program completion
- Academic masterclasses conducted by distinguished faculty from IIT Guwahati
- Become eligible for a campus immersion program at IIT Guwahati
A Game-Changing IBM Collaboration
- Industry recognized certificates for IBM courses
- Industry masterclasses by IBM experts
- Ask Me Anything sessions and hackathons
Generative AI & Machine Learning Details
Thoughtfully curated, this Generative AI and Machine Learning program guides you through essential programming concepts, practical data science, and advanced AI applications. From mastering Python fundamentals to delving into modern AI technologies, this program will help you transform your career.
Learning Path
Embark on a comprehensive learning adventure with our Generative AI and Machine Learning Certificate Program. 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.
- Installation of Python and IDE
- Mastery in utilizing Jupyter Notebook
- Implementation of identifiers, indentations, and comments
- Identification of Python data types and operators
- Understanding different types of Python loops
- Exploration of variable scope within functions
- IBM designed course on Python for data science
- Master Python scripting
- Hands-on data analysis using Jupyter Lab.
- Introduction to data science and its practical applications
- Grasp the essentials of NumPy
- Investigation into array indexing and slicing techniques
- Application of linear algebra principles in data analysis
- Calculation of central tendency and dispersion measures
- Explanation of null and alternative hypotheses
- Exploration of various hypothesis testing methods including Z-test and T-test
- Understanding the concept of ANOVA (Analysis of Variance)
- Utilization of Pandas for data loading, indexing, reindexing, and merging
- Investigate the machine learning pipeline
- Learn about supervised learning and its applications
- Understand methods to identify and prevent overfitting and underfitting
- Visualize variable linearity using correlation maps
- Explore classification algorithms and their practical usage
- Master various unsupervised learning techniques
- Recognize suitable scenarios for unsupervised algorithms and types of clustering
- Develop a recommendation engine using PyTorch
- Elevate ML skills with deep learning
- Learn TensorFlow and Keras
- Understand deep learning concepts
- Construct artificial neural networks
- Navigate data abstraction layers
- Unlock data potential for AI advancements
- Learn about distinctions between deep learning and machine learning
- Understand neural networks, including forward and backward propagation
- Utilize TensorFlow 2 and Keras for model deployment
- Enhance model performance and interpret results effectively
- Explore convolutional neural networks (CNNs) and transfer learning for object detection
- Learn about recurrent neural networks (RNNs) and autoencoders
- Cutting-edge knowledge: Explore generative AI, prompt engineering, and ChatGPT
- Hands-on skills: Gain practical insights into real-world business applications
- Effective GenAI utilization: Learn to apply Generative AI effectively in various scenarios
- Master prompt engineering: Understand its importance in crafting customized outputs
- Transformers' significance in modern AI
- Neural networks' suitability for generative tasks
- Differentiate generative model types: VAEs, GANs, transformers, autoencoders
- Appropriate scenarios for diverse generative AI models
- Assess attention mechanisms' efficacy in generative tasks
- Analyze GPT and BERT, contrasting their architectural goals in generative AI
- Langchain and Workflow Design
- Advanced Prompt Engineering Techniques
- LLM Application Development
- LLM Fine-Tuning and Customization
This will enable you to apply your newly acquired skills. With guidance from mentors, you will build confidence to tackle real-industry challenges. This project not only signifies the peak of your learning journey but also serves as an opportunity to showcase your capabilities to potential employers in a real-world setting.on
Electives:
- 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
- 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
Learn foundational principles of reinforcement learning (RL) Explore various RL approaches using Python and TensorFlow Apply RL techniques and algorithms for problem-solving Gain practical experience in tackling RL challenges
- Attend an online interactive masterclass delivered by IIT Guwahati faculty
- Gain insights about advancements in technology and techniques in AI and machine learning
- Enhance your knowledge to stay at the forefront of innovation in the constantly evolving landscape of technology
- Attend online interactive masterclasses delivered by industry leaders from IBM
- Master skills to make data driven decisions, extract business insights, and predict future trends
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An Immersive Learning Experience
Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.
Mentoring session(s)
Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.
Learning Support
Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.
Program Advisors and Trainers
Program Advisors
Dr. Gaurav Trivedi
Associate Professor, EEE and Principal Investigator, E&ICT Academy, IIT GuwahatiWith an M.Tech. in Microelectronics and a Ph.D. in Electrical Engineering from IIT Bombay, Dr. Gaurav Trivedi’s research spans circuit simulation, VLSI CAD, electronics system design, computer architecture, IoT, high-performance computing, large-scale optimization, and machine learning.
Prof. Koteswar Rao Jerripothula
Assistant Professor, IIT KanpurProf. Rao holds a Ph.D. from NTU, Singapore, with research interests in Computer Vision, AI, Machine Learning, Multimedia, and Signal Processing. Many of his works have been published in leading venues like CVPR, ICCV, ECCV, and WACV.
Amitendra Srivastava
Chief Data Scientist at IntelyticaAmitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.
Raghav Goel
Generative AI & Data Science ConsultantA passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.
Ankit Virmani
Data & ML Leader at GoogleAnkit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.
Program Trainers
Dr Tejesh Sivasubramani
12+ years of experienceConsultant and Corporate trainer
Armando Galeana
20+ years of experienceFounder and CEO, Ubhuru Technologies
Prashant Nair
15+ years of experienceAI Quantum Researcher and Corporate Trainer
Shubam Pandey
12+ years of experienceCEO- Learners Galaxy
Tarun Sachdeva
8+ years of experienceData Analyst and Certified Project Manager
Industry Trends
The demand for AI Engineers is rapidly increasing and is projected to rise by about 20% in new job opportunities. IBM forecasts significant growth in the AI field, with an expected emergence of 2.5 to 3 million roles.
$267 billionExpected Global AI Market Value By 2027
40.2%The Annual Growth Rate For The Global AI Market
$15.7 trillionExpected Total Contribution Of AI To The Global Economy By 2030
Companies Hiring
Batch Profile
This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 35%Software Product - 29%E commerce - 9%BFSI - 15%Others - 12%Companies
Learner Reviews
Admission Details
Application Process
The application process consists of 3 simple steps. Upon selection, candidates will receive an offer of admission, which they can secure by remitting the admission fee.
Submit Application
Tell us a bit about yourself and why you want to do this course
Reserve Your Seat
An admission panel will shortlist candidates based on their application
Start Learning
Selected candidates can join the program by paying the admission fee
Eligibility Criteria
For admission to this GenAI and Machine Learning Course, candidates should have:
Admission Fee & Financing
The admission fee for this GenAI and ML Course $2,500.
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Total Program Fee
$2,500
Pay In Installments, as low as
$250/month
You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.
Apply Now
Program Benefits
- Program certificate from E&ICT Academy, IIT Guwahati
- 2-day campus immersion program at IIT Guwahati
- IBM course certificates and masterclasses by IBM experts
- Integrated labs & 20+ practice tools
- Live & self-paced learning for better engagement
Program Cohorts
There are no cohorts available in your region currently
Professional Certificate in Gen AI FAQs
What is a generative AI and machine learning program?
A generative AI and machine learning program is an advanced course designed to equip learners with skills in AI and ML, focusing on generative AI techniques like GANs, transformers, and NLP models. Simplilearn’s GenAI and machine learning program includes statistics, machine learning, Python, R programming, and data visualization modules. Delivered online through live classes, the course includes industry-relevant assignments and capstone projects. It offers hands-on experience through real-world projects, helping professionals master cutting-edge AI technologies to drive career innovation.
What does an AI specialist do?
An AI specialist designs, develops, and implements artificial intelligence models and algorithms to solve complex problems. They create intelligent systems using machine learning, data analysis, and natural language processing. Their role involves researching new AI techniques, optimizing performance models, and integrating AI solutions into applications across various industries. They also collaborate with cross-functional teams to ensure AI systems meet business objectives
What are the benefits of a professional certificate in generative AI?
A professional certificate in generative AI equips you with cutting-edge AI model creation and deployment skills, making you highly competitive in the job market. Simplilearn’s GenAI program offers hands-on experience with leading AI tools, enhancing your practical knowledge. The program also provides industry-recognized credentials, boosting career prospects in AI-driven fields. This program also helps you stay updated with the latest advancements in AI, ensuring your expertise remains relevant in a rapidly evolving industry.
What is the eligibility criteria for enrolling in the Generative AI and Machine Learning program?
For admission to this program, candidates should have:
- A bachelor's degree with an average of 50 percent or higher marks
- Prior knowledge or experience in programming and mathematics
- Preferably 2+ years of formal work experience
How efficient are the trainers at Simplilearn?
The trainers for Simplilearn’s GenAI and Machine Learning course offer a wealth of knowledge from their time working in the AI industry and practical experience creating and implementing strategies. Their selection process involves carefully evaluating their educational background, professional experience, and teaching capabilities. These trainers deeply understand GenAI tools, methodologies, and frameworks. They clarify complicated concepts to help participants understand and easily gain theoretical knowledge and practical skills. The instructors' real-world experiences and insights facilitate a highly relevant learning experience.
How do I enroll in the generative AI and machine learning program?
The application process for the generative AI and machine learning program involves three steps.
- First, candidates must submit an application detailing their motivation for the course.
- Next, an admission panel will review the applications and shortlist candidates based on their submissions.
- Finally, selected candidates can begin the GenAI and ML program within 1-2 weeks.
Please note that, upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.
- Acknowledgement
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.