NVIT’s AI/ML Accelerator Program 2025

Hands-On Training for Future AI/ML Experts – Learn, Build, Deploy with Real-World Projects

Overview:


Join
NVIT’s AI/ML Accelerator Program 2025 and take your career to the next level with hands-on training from industry experts. This 4-month, immersive program begins with new cohorts starting on the first weekend of each month in 2025, and is designed to provide real-world AI/ML skills through weekly projects. It is a 100% virtual, real-time instructor-led program, guided by AI/ML leaders from Microsoft, AWS, IBM, Google, Meta, OpenAI, NVIDIA, Stanford University, and more.

Enrollment is now open! Secure your spot in this exclusive AI/ML program with a $200 down payment, which will be applied toward your first week’s fee upon enrollment. Only 500 participants worldwide will be accepted, all preparing for AI/ML roles in 2025. Don’t miss this opportunity!

Contact Info


For more information, you can contact


Email: info@nvit.tech
Phone: +1 (214) 407-7229
Website: https://nvit.tech/ai-ml-accelerator

Why You Should Enroll?
Transition into AI/ML Roles: Gain the skills needed to SWITCH ON careers into AI/ML or enhance your current role, learning from industry veterans working in healthcare, finance, autonomous systems, and more.
Real-World Projects Every Week: This program emphasizes learning by doing, with weekly projects focused on solving real-world business problems.
Master AI/ML Technologies in Demand: Build expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI (GenAI), Deep Learning (DL), and Natural Language Processing (NLP).
Cloud-Based AI Deployments: Learn to deploy AI models in Azure, Google Cloud, and AWS, making your models ready for production environments.
Capstone Project: At the end of the program, you will work on a Capstone Project, where you will apply everything, you have learned to develop and deploy a real-world AI solution.
Interview Preparation and Career Support: After the workshop, NVIT will provide interview preparation or opportunities to work on AI/ML projects directly with our teams.

How the Program Will Run

Duration: The program runs for four months, with a new co-hosting session starting on the first weekend of each month.
Sessions: Classes will be held 2 hours every Friday, and 2 hours every Saturday. This schedule ensures in-depth learning while maintaining flexibility for working professionals.
Learning Model: This program is built around hands-on, real-world projects that emphasize practical experience over theory.
Live Virtual Instruction: All sessions are 100% virtual, instructor-led in real-time, allowing for live interaction and direct feedback from industry leaders.
Weekly Projects: Each week, students will complete a project that ties directly to real-world AI/ML challenges, ensuring you build a portfolio of practical experience.
Capstone Project: At the end of the program, students will complete a Capstone Project that applies all learned techniques to a comprehensive, real-world AI solution.
The NVIT AI/ML Accelerator Program is designed to offer maximum flexibility while delivering intensive, practical training. Here is how the program will run:

Meet the Industry-Leading Instructors:

Gain knowledge from seasoned professionals who are leaders in the AI/ML industry:

John Enoh

CEO at NVIT | Expert in AI/ML, Cloud,
and Data Solutions | Ex-Microsoft, IBM

LinkedIn:John Enoh

Oluwagbenga Paul Idowu, Phd

AI/ML Expert | Data Scientist | Cloud Computing @NVIT

Tunde Olokodana

AI | API Software Engineer @ Microsoft

Sumit Sengupta

Technologist - multi-cloud |
Ex-Microsoft, Apple, MongoDB

Abi Olatunji, MBA, MS

Data & AI Leader | AI Researcher |
Cloud Expert @ Microsoft

LinkedIn:Abi Olatunji

And many more from Google,
NVIDIA, Meta, OpenAI, etc.

Who Should Enroll:

This program is designed for students, working professionals, and individuals with no prior programming experience who want to expand their skill set and grow their careers in the exciting world of AI/ML. While proficiency in object-oriented programming (Python) is beneficial for successfully completing the coursework and projects, beginners will receive the necessary foundational support to build their skills from scratch.

Program Structure and Schedule

SECTION 1


Foundations of AI/ML

TOPICS COVERED:

Module 1: Introduction to Machine Learning

Learn supervised and unsupervised learning techniques.

Weekly Project: Build a predictive model using real-world data.
Module 2: Data Analytics and Visualization

Clean, analyze, and visualize data using pandas, NumPy, and Seaborn.

Weekly Project: Extract insights from real business data.
Module 3: Cloud AI Fundamentals (Azure, GCP, AWS)

Learn to deploy AI models in cloud environments and manage data
pipelines for AI applications.

Weekly Project: Deploy a basic AI model in Azure, Google Cloud, or AWS,
and set up a simple ETL pipeline that ingests data into a data lake,
transforms it, and loads it for model training.
Module 4: Practical Applications I

Apply AI techniques to solve real-world business problems.

Weekly Project: Develop an AI solution to a business challenge.

SECTION 2


Advanced AI/ML Techniques, LLMs, and Cloud Integration

TOPICS COVERED:

Module 5:Cloud-Based AI Deployments

Scale and optimize AI models for cloud environments like Azure, GCP, and AWS.

Weekly Project: Deploy a scalable AI solution in the cloud.
Module 6:Feature Engineering and Model Optimization

Learn advanced techniques for feature engineering and model optimization.

Weekly Project: Extract insights from real business data.
Module 7:Continuous Integration/Continuous Deployment (CI/CD)

Automate AI model deployments with Kubernetes and Docker.

Weekly Project: Build and automate a CI/CD pipeline for model deployment.
Module 8:Integration of LangGraph with Meta AI and OpenAI APIs

Integrate LangChain, Meta AI’s LLaMA and OpenAI’s ChatGPT API into your products.

Weekly Project:Develop a virtual assistant using ChatGPT API and LLaMA.

SECTION 3


Advanced AI Technologies – LLMs, GenAI, DL, NLP, and RAG

TOPICS COVERED:

Module 9: Natural Language Processing (NLP)

Explore NLP for chatbots and virtual assistants.

Weekly Project: Deploy an NLP-powered chatbot on the cloud.
Module 10: Time Series Forecasting for Business Applications

Learn time series analysis for forecasting business trends.

Weekly Project: Build a time series model for financial forecasting.
Module 11: Generative AI with LLMs and GANs

Understand how Generative AI models like LLMs and GANs work.

Weekly Project: Create a Generative AI model for text or image generation.
Module 12: Deep Learning (DL) and Neural Networks

Master deep learning architectures like CNNs and RNNs.

Weekly Project: Develop a DL model for image classification or NLP tasks.
Module 13: Retrieval-Augmented Generation (RAG)

Learn how RAG enhances AI models by retrieving external data.

Weekly Project: Implement a RAG-based system to improve model accuracy.

SECTION 4


Capstone Project – AI Product Development and Deployment

TOPICS COVERED:

Module 14:Capstone Project

Use everything you have learned to develop a comprehensive AI solution. Incorporate LLMs, RAG, Deep Learning, NLP, and Generative AI into a real-world business challenge, deploying your solution on Azure, Google Cloud, or AWS.

Module 15:Set up GitHub/GitLab for Collaborative AI/ML Projects:

Ensure effective version control and collaboration by setting up GitHub or GitLab repositories for your project, allowing seamless teamwork, code sharing, and project management.

Tools and Technologies You Will Master

* Python, TensorFlow, Keras, Scikit-learn
* Meta AI (LLaMA), OpenAI’s ChatGPT API, Google Cloud AI, Azure Cognitive
* Services, AWS AI Services
* Generative AI (GANs), LLMs, RAG
* Deep Learning (CNNs, RNNs)
* Kubernetes, Docker, CI/CD pipelines
* Jupyter Notebooks, Google Colab, GitHub
* pandas, Seaborn, Plotly

Enrollment Details

Program Start Date: New cohorts begin on the first weekend of each month in 2025.
Enrollment Start Date: Now open and ongoing.
Available Slots: Only 500 participants globally
Cost: $50 per hour or $200 per week

Ready to Lead the AI/ML
Revolution in 2025?

Join NVIT’s AI/ML Accelerator Program 2025 and take part in a hands-on, practical training experience designed to shape the future leaders in AI/ML. Learn, Build, and Deploy AI solutions with real-world projects. Whether you are looking to SWITCH ON careers or enhance your expertise, this program provides the practical experience you need. Enroll now—seats are limited!

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