Professional Certificate Program in Generative AI and Machine Learning
Master GenAI & ML with IITG, ranked #7 in the 2023 NIRF Engineering Rankings
Dive into the future of AI with our Generative AI & Machine Learning course, delivered in collaboration with E&ICT Academy, IIT Guwahati. Master in-demand AI skills through live classes led by industry experts, masterclasses by IIT Guwahati faculty, and practical hands-on projects.
- Learning Format Self-Paced Learning
World’s #1 Online Bootcamp
Why Join this Program
Program 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
Post Graduate Program 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
Program 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.
- Comprehensive grasp of procedural and OOP concepts
- 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
- Explanation and understanding of OOP characteristics
- 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 and MLOps
- 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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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.
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
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
Application Review
An admission panel will shortlist candidates based on their application
Admission
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:
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
FAQs
Why E&ICT Academy, IIT Guwahati?
Established on March 26, 2015, by the Ministry of Electronics & Information Technology (MeitY), the Electronics & ICT Academy at IIT Guwahati offers advanced online certification courses in data science, AI, machine learning, big data, cloud computing, full stack development, UI/UX, and VLSI design. It has successfully trained over 2,000 graduates and professionals.
IIT Guwahati is a top engineering school in India with a strong national and growing international reputation. It has consistently maintained a top 7 ranking in the Engineering category of the NIRF rankings from 2019 to 2023 and is recognized among the world's best universities for the study of Data Science by the QS World University Rankings.
What is covered in this Professional Certificate Program in Generative AI and Machine Learning?
You'll immerse yourself in the world of AI and machine learning, building a solid foundation from the ground up. This meticulously designed curriculum goes beyond the basics, delving into advanced topics such as deep learning, natural language processing, computer vision, and predictive analytics. Best of all, you won't just learn the theory; you'll engage in hands-on projects within integrated labs, applying your skills to real-world scenarios. By the end of the program, you'll be well-prepared to launch your career in AI and ML with confidence and expertise.
How long will it take to complete the Professional Certificate Program in Generative AI and Machine Learning?
The anticipated time to complete the Professional Certificate Program in Generative AI and Machine Learning is 11 months.
Who should enroll in the Generative AI & Machine Learning course?
Professionals eager to develop AI and ML expertise with the objective of:
- Improving performance in their current role
- Transitioning to AI and ML roles in their organization
- Seeking to advance their career in the industry
- Empowering entrepreneurial aspirations
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
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.