• Application closes on

    22 May, 2026

  • Program Duration

    26 weeks

  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

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Program Overview

AN

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies

    Program Details

    NA

    Learning Path

    • LSU AIML - Programming Refresher
      • Develop and execute Python programs for real-world applications.
      • Learn essential Python data types and file-handling techniques.
      • Learn and apply decision control structures, looping mechanisms, and argument types in Python.
         
    • LSU AIML - Applied Data Science with Python
      • Utilize Python libraries for data science and perform advanced data manipulation and analysis with NumPy and Pandas.
      • Conduct hypothesis testing and statistical analysis, and implement data cleaning, transformation, and feature engineering techniques.
         
    • LSU AIML - Machine Learning
      • Understand and differentiate types of machine learning models.    
      • Apply supervised learning techniques to classification and regression problems.
      • Develop and train machine learning models using Python packages. 
      • Evaluate and validate machine learning models using performance metrics. 
      • Apply machine learning models to real-world use cases.
         
    • LSU AIML - Deep Learning
      • Design and implement deep neural networks for image and text classification. 
      • Apply advanced optimization algorithms to enhance model training. 
      • Utilize transfer learning and object detection based on real-world use cases.   
      • Perform hyperparameter tuning and regularization for improved model accuracy.
      • Develop sequential models for time-series and video data classification.
         
    • LSU AIML - MLOps
      • Understand MLOps principles and the machine learning lifecycle.
      • Build automated, production-ready ML pipelines using CI/CD and version control.
      • Deploy and manage machine learning models in a cloud environment.
      • Monitor model performance, detect drift, and enable automated retraining.
      • Apply containerization and Infrastructure as Code to scale ML systems.
         
    • LSU AIML - Natural Language Processing
      • Preprocess and transform text data for NLP tasks.
      • Build and implement NLP models for text classification and sentiment analysis 
      • Utilize word embeddings to enhance text representation in NLP models.
      • Develop and evaluate machine translation systems. 
      • Implement advanced NLP models using sequence modeling and attention mechanisms.
         
    • LSU AIML - Essentials and Applications of Generative AI
      • Design and implement generative AI models for various applications. 
      • Understand and apply attention mechanisms in transformer models. 
      • Develop and fine-tune large language models (LLMs) for enhanced performance.    
      • Apply the LangChain framework to build generative AI applications.  
      • Optimize and evaluate generative AI models using hyperparameter tuning and benchmarking techniques.
         
    • LSU AIML - Agentic AI Frameworks with Model Context and Tooling Protocols
      • Understand agentic AI systems and modern agent-based architectures.
      • Build LLM-powered agents with reasoning, memory, and tool usage.
      • Design multi-agent workflows with orchestration and collaboration patterns.
      • Implement graph-based workflows using agentic frameworks.
      • Integrate external tools and data using the Model Context Protocol (MCP).
    • LSU AIML - Capstone Project
      • Enhance your skills by applying various AI & machine learning techniques to solve real-world challenges, using publicly available data sets.


       

    Contact Us

    1-844-532-7688

    (Toll Free)

    Program Advisors

    • Abigail Scholz

      Abigail Scholz

      MBA, Quantic School of Business and Technology

      A seasoned leader with over 18+ years of diverse industry experience spanning e-commerce, logistics, manufacturing, and education. Combines deep technical expertise with a strong passion for mentorship and hands-on learning in full-stack development.

    • Abhay Rai

      Abhay Rai

      Head - Business Operations and Marketing

      Abhay is a seasoned marketing professional with over 25 years of experience in Digital Marketing, Product Management, and Sales. He holds a Masters in Digital Marketing and certifications from Meta, Google, Hubspot, and Rankwatch. Abhay has also authored books on Digital Marketing and SEO.

    • Abhinav P

      Abhinav P

      Design Thinking Practitioner: EY Trainer

      Product Design professional with a focus on User Experience, Product Design & Product Management in a wide variety of business applications. Particularly interested in user research, user experience, product design, product management.

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    Career Support

    Career Assistance

    During your bootcamp and for a full year after your graduation, you can access the Fullstack Academy Career Success Program to help achieve your desired career outcomes.
    1:1 career coaching and interview prep

    1:1 career coaching and interview prep

    Access to a curated career success platform

    Access to a curated career success platform

    Career success workshops & career practicum lessons

    Career success workshops & career practicum lessons

    Alumni panels, guest lectures, and other industry events

    Alumni panels, guest lectures, and other industry events

    Batch Profile

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      • 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.
      • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
      • Career Impact Results vary based on experience and numerous factors.