• Admission closes

    February 12, 2026

  • Program Duration

    26 Weeks (Part-Time)

  • Learning Format

    Live, Online, Interactive

Key Features

  • Certificate from LSU Online and Fullstack Academy

    #1 University in Louisiana

    LSU grads earn $20,000 more annually than the national average

  • Fullstack Academy Career Success Services

    Get 1:1 coaching, interview prep, curated job board access, workshops, and more

    Gain access to a strong network of 13,000+ Fullstack Academy alumni

  • Breaking into Tech with Fullstack Academy

    Go from beginner to AI job-ready in just 26 weeks - No tech experience required

    Study with a tech trailblazer (600+ cohorts delivered) with 4.8/5 student ratings

  • GenAI-Powered Industry-Relevant Curriculum

    Learn with 200+ hours of online, instructor-led classes and 15+ hands-on projects

    Hands-on GenAI, Agentic AI, and MLOps training with industry-aligned modules

Days
Hours
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Seconds

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Graduate Achievements

$350k

Top-Reported Salary

$76k

Average Salary

1500+

Employers Hiring Grads

Our Alumni In Top Companies

Career Opportunities

  • Machine Learning Engineer
  • AI Engineer
  • Solutions Architect (AI/ML)

Develops, trains, and optimizes machine learning models for scalable production systems and predictive analytics.

Hiring Companies
Wells Fargo
Nvidia
IBM
JP Morgan Chase
Cisco
Adobe
Average Salary
$107KMin
$200KAverage
$293KMax

Essentials Skills You will Develop

  • Prompt Engineering
  • Conversational AI
  • Deep Learning
  • Ensemble Methods
  • Machine Learning Algorithms
  • Model Training and Optimization
  • Natural Language Processing
  • Speech Recognition
  • Supervised Learning
  • Unsupervised Learning
  • Data Science
  • Agentic AI Architecture
  • CloudNative MLOps AWS
  • Generative AI Applications
  • LLM Agent Design
  • MLOps Lifecycle Management
  • Model Context Protocol Implementation

Earn Professional Certifications

Award of CompletionAward of Completion
Award of Completion
  • Certificate of completion from LSU Online and Fullstack Academy
  • LSU is the #1 University in Louisiana
  • LSU grads earn $20,000 more annually than the national average

Program Curriculum

The part-time AI and Machine Learning Bootcamp includes 9 units. Starting with a programming refresher, you’ll quickly move into advanced AI and machine learning concepts—with real-world scenario-based projects at the end of the bootcamp to help you practically apply your skills.

  • 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.

  • 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.

  • 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.

  • Design and implement deep neural networks for image and text classification. Apply advanced optimization algorithms to enhance model training. Perform hyperparameter tuning and regularization for improved model accuracy. Develop sequential models for time-series and video data classification.

  • 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.

  • 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.

  • 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. Optimize and evaluate generative AI models using hyperparameter tuning and benchmarking techniques.

  • 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).

  • Enhance your skills by applying various AI & machine learning techniques to solve real-world challenges, using publicly available data sets.

Contact Us

+1-800-503-7505

( Toll free )

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25+ Tools Covered

AIM_Sagemaker
AIM_MlFlow
AIM_LangGraph
AIM_LangChain
AIM_Streamlit
AIM_ChatGPT
AIM_Chroma
AIM_Dall-E
AIM_Date_Time
AIM_Gradio
AIM_Hugging_face
AIM_Keras
AIM_Jupyter
AIM_Matplot
AIM_Miro
AIM_OpenAI
AIM_OpenCV
AIM_Pandas
AIM_PyPDF
AIM_Python
AIM_Pytorch
AIM_SciPy
AIM_Seaborn
AIM_Tensorflow
AIM_Uizard

Industry Projects

Program Advisor

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Total Program Fee

Program Fee $ 7,995
20% off

$ 9,995

Pay in Installments

As low as

You can pay monthly installments using Climb. These plans are offered with low APR and no hidden fees.

Program Cohorts

Who Is This Program For?

How To Apply

  • 1
    Submit Application

    Complete the online application form by providing the required information.

  • 2
    Reserve Your Seat

    Speak with your student advisor about the details of the bootcamp.

  • 3
    Start Learning

    Receive an admissions decision and start your program on the cohort date.

Start Application

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

Demand For Program

The global AI market is growing rapidly, driven by various factors such as increasing digital adoption, rising awareness of AI capabilities, and advances in robotics, autonomous systems, computer vision, machine learning, NLP, and generative AI. The market is projected to expand from $294 billion in 2025 to $1.8 trillion by 2032 (Fortune Business Insights).

AI skills are now essential for career growth, 79% of professionals say they’re needed to stay competitive, 66% of leaders wouldn’t hire without them, and 71% would prefer less experienced candidates with AI skills (Microsoft, 2024). Machine Learning Engineers earn a median salary of $176,024 (Indeed).

With AI adoption accelerating, 2026 represents a critical moment to build future-ready AI and ML skills aligned with modern engineering needs.

Demand For Program

Program FAQs

  • Is the LSU Online AI & Machine Learning Bootcamp for beginners?

  • What will I learn in the LSU Online AI & Machine Learning Bootcamp?

  • What kind of career support will I receive during and after the program?

  • Do I need my own computer for the program? If yes, what are the system requirements?

  • What is covered in the LSU Online AI & Machine Learning Bootcamp?

  • How long does the LSU Online AI & Machine Learning Bootcamp take to complete?

  • How much does the LSU Online AI & Machine Learning Bootcamp cost?

  • What should I expect from the LSU Online AI & Machine Learning Bootcamp?

  • What is the application process for the LSU Online AI & Machine Learning Bootcamp?

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