Grow Data Skills

Generative AI Projects (Live Classes)

LanguageEnglish
Sessions 8
Duration 1 Month
Starts On 28-Sept-2024
Validity 1 Year
Mode Live

INR 1000

Buy Now

This course includes

20+ hours content live lecture
4 industry level projects
Project will be covered from scratch
Tools – Jupyter Notebook, Google Collab, PyCharm, Spyder, Visual Studio
Technology – NLP, ML, Data Analysis, OpenAI, Generative AI, Cloud, LLM, Computer Vision
Certificate of completion

Tech stack you'll learn

Course Content

Tech Stack: Python, Transformers library, LangChain, OpenAI, Stream lit, Hugging Face models
Overview of Q&A systems and GenAI
Generative AI Fundamentals
Q&A System Architecture
Data Preparation
Building the Q&A Model
Creating the Chat Interface
Evaluation and Improvement
Deployment

Tech Stack: Python, Transformers library, spaCy, Pandas, Streamlit, Hugging Face models
Overview of financial data extraction
Introduction to LLMs and their capabilities
Financial Document Understanding
Information Extraction Techniques
Data Preparation
Implementing the Extraction Pipeline
Post-processing and Structuring
Evaluation and Optimization
Building a User Interface
Deployment and Scaling

Tech Stack: Python, Google's Gemini API, OCR library (e.g., Tesseract), OpenCV, Streamlit
Overview of invoice processing and information extraction
Gemini Model Architecture
Invoice Understanding
Data Preparation
Building the Extraction Pipeline
Post-processing and Validation
Creating a User Interface
Evaluation and Improvement
Deployment and Integration

Tech Stack: Python, OpenAI API or Google's Vertex AI, stream lit, Git, GitHub API
Why automatic code analysis is important
Intro to Gen AI for code understanding
Challenges in analyzing code with AI
Preprocessing code for AI analysis
Building our analysis pipeline
Creating a user-friendly interface
Testing and improving our analyzer
Discussing real-world use and limitations

Attention Seeking Resume Preparation and Interview Strategies
Linkedin Profile Making

Course Schedule

Mode of the Course:

Live

Course Starts:

28-Sep-2024

Course Validity:

1 year

Class Timings:

Saturday & Sunday [3:00 PM - 5:00 PM Live Teaching, 5:00 PM to 5:45 PM Live Doubt Session] (IST)

Class Duration:

2 Hours Live Teaching, 45 minutes Doubt Solving

Class Recording Provided:

Yes

Prerequisite:

Basic Python, Basic understanding of Data Science

⚠️ Important Notice :

The video may not work on Linux due to DRM restrictions. It is only accessible on Chrome when using Windows or macOS.

Workaround: To access the video on Linux, you can create a Windows virtual machine (VM) and watch the video through the VM. Alternatively, you can use our Android or iOS application to view the video on your mobile device.

Instructor

Aman Kumar

Aman, an experienced Data Scientist at EY, excels in turning data into impactful insights and solutions. Beyond his work, he's a certified IBM Instructor for IoT and AI, having mentored over 500 students in Data Science, NLP, ML, and AI. Aman's commitment to education and innovation showcases his passion for using data to drive positive change.