• Admission Date

    Announcing Soon
  • Program duration

    11 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

Enterprise training for teams

    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

    15+ Tools Covered

    ChatGPTOpen AIDalle.2Hugging FacepythonGradioLangchaintensorflowkerasNLKTNumPyOpen CVScikitLearnMatPlotlibDjango-n

    Program Advisors

    • Dr. Gaurav Trivedi

      Dr. Gaurav Trivedi

      Associate Professor, EEE and Principal Investigator, E&ICT Academy, IIT Guwahati

      With 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

      Prof. Koteswar Rao Jerripothula

      Assistant Professor, IIT Kanpur

      Prof. 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

      Amitendra Srivastava

      Chief Data Scientist at Intelytica

      Amitendra’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

      Raghav Goel

      Generative AI & Data Science Consultant

      A 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

      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.

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      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.

      • What will the expected salary range be after completing the professional certificate in generative AI program?

        After completing the certificate program in generative AI, you can explore job roles like GenAI engineer, ML engineer, AI research scientist, AI solutions architect, AI product manager, and AI consultant, amongst others.

        Here’s the approximate salary of these professionals- (Source: Glassdoor)
         

        • Gen AI engineer- ₹ 28 LPA
        • ML engineer- ₹14LPA
        • AI research scientist- ₹12LPA
        • AI solutions architect- ₹37LPA
        • AI product manager- ₹ 26.1LPA
        • AI consultant- ₹ 18LPA
           

      • Does Simplilearn have corporate training solutions?

        Discover how Simplilearn for Business can equip your teams with the latest AI and other digital skills, including industry certifications. Our tailored training and learning paths are designed for Fortune 500 and mid-sized companies, offering targeted skill development for their workforce. Explore our comprehensive learning library, Simplilearn Learning Hub+, which features unlimited live interactive solutions that are available organization-wide. Our dedicated curriculum consultants collaborate with each client to identify and implement the ideal learning solutions for their teams' needs.

      • Will missing a live class affect my ability to complete the course?

        No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

      • What will be the career path after completing the generative AI and machine learning program?

        A certificate in generative AI and machine learning can help you pursue various career paths, such as becoming a machine learning engineer, AI research scientist, or data scientist. Simplilearn’s GenAI and machine learning program will help you learn skills to develop and deploy AI models, conduct research to advance AI technologies or analyze and interpret complex data. Once completed, you'll be equipped to work in industries ranging from technology and finance to healthcare and entertainment, leveraging AI to drive innovation and build a fulfilling career.

      • What is covered under the 24/7 support promise?

         We offer 24/7 support through chat for any urgent issues. For other que

      • What is the refund policy for this professional certificate in generative AI program?

        You can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our refund policy.

      • What are the best Generative AI tools?

        Some of the best generative AI tools are OpenAI's GPT-4 for natural language processing and content generation, DALL·E 2 for creating images from text prompts, Google's BERT for understanding language context, MidJourney for AI-driven art creation, and RunwayML for generating and editing videos. These tools are widely used in various industries for creative and technical applications. Simplilearn’s GenAI and Machine Learning program thoroughly teaches all these tools.

      • How can I learn generative AI?

        If you are keen to learn generative AI or want to start a career in this field, Simplilearn’s certificate program in generative AI and machine learning is a great platform to start. This course starts with foundational machine learning and deep learning courses and proceeds to cover advanced terms and methodologies. You will understand the underlying principles and explore tools such as  GPT-4 and DALL·E 2, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders). The hands-on projects and assignments help you apply these concepts practically for a better understanding.

      • Is there any certification for generative AI?

        Yes, Simplilearn offers a certification in Generative AI through its AI and Machine Learning course. This certification covers key concepts, tools, and Gen AI and ML techniques. It is a great credential for professionals seeking to advance their careers in AI.

      • Are there any other online courses Simplilearn offers under AI & Machine Learning?

        Absolutely! Simplilearn offers plenty of options to help you upskill in AI & Machine Learning. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the AI & Machine Learning field.

        Similar programs that we offer under AI & Machine Learning

      • 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.