IIT Kanpur - Professional Certificate Course In Generative AI And Machine Learning
- Offered bySimplilearn
- Private Institute
- Estd. 2010
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Overview
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
Deep Dive into Next-Generation AI Technologies
Duration | 11 months |
Start from | Start Now |
Total fee | ₹1.53 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Highlights
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
- Earn a certificate after completion of course.
- Fee can be paid in installments.
- Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals’ on the Microsoft Learn portal.
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Course details
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
Skills you will learn
Who should do this 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 are the course deliverables?
- Generative AI
- Prompt Engineering
- ChatGPT
- Explainable AI
- Machine Learning Algorithms
- Supervised and Unsupervised Learning
- Model Training and Optimization
- Model Evaluation and Validation
- Ensemble Methods
- Deep Learning
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- Speech Recognition
- Statistics
More about this course
The Generative AI and Machine Learning course enriches your career with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more.
Combining theory with hands-on practice, it features live virtual sessions, projects with integrated labs, and masterclasses by eminent IIT Kanpur faculty.
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Curriculum
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
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Commence your educational endeavor with our Generative AI and Machine Learning certificate course. Immerse yourself in a distinctive and comprehensive learning experience designed to delve into every facet of the generative AI and machine learning domain, providing you with the essential foundation required to launch your career ambitiously.
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- 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
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- 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
- Data preparation, formatting, normalization, and standardization through data binning
- Creation of graphical representations using Matplotlib, Seaborn, Plotly, and Bokeh
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- 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
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- Differentiate between deep learning and machine learning
- Understand neural networks, including forward and backward propagation
- Utilize TensorFlow 2 and Keras for model development
- 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
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- 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
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- 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
- Benchmarking and Evaluation of LLM Capabilities
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At the end of the Machine learning course, participants embark on a capstone project, where they get to put their newfound skills into action. With guidance from mentors, they tackle real industry challenges head-on. This project isn't just the final stretch of their learning journey; it's also a chance to show off their abilities to potential employers in a real-world context.
Electives:
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Engage in enlightening online interactive masterclasses led by distinguished faculty members from the esteemed institution of IIT Kanpur. These masterclasses provide invaluable insights into the latest advancements in technology and techniques across the expansive domains of Data Science, Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning. Through comprehensive discussions and presentations.
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- 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
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- 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
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- 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
- 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
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Faculty details
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
Arijit Mitra
Director and Head of Machine Learning & AI at Pegasystems. Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.
Ankit Virmani
Data & ML Leader at Google. Ankit 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.
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Entry Requirements
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
Eligibility criteria
- A bachelor's degree with an average of 50 percent or higher marks
- Basic understanding of mathematics and programming concepts
- Preferably 2+ years of formal work experience
Professional Certificate Course In Generative AI And Machine Learning at Simplilearn Admission Process
Professional Certificate Course In Generative AI And Machine Learning
at Simplilearn
Important Dates
Aug 10, 2024
Course Commencement Date
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Professional Certificate Course In Generative AI And Machine Learning
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