Program Duration
50 Hours
Level
Basic
Prerequisite Course
No Prerequisite Course Required
Course Objective
If you have been considering getting into Machine learning & Data Science and if you are curious what this field is all about, now is the time to start. Data science, Machine Learning and Generative AI jobs are becoming increasingly in demand as big data and technology industries grow. Data science is the field of study that combines domain expertise, programming skills and knowledge of mathematics and statistics to extract meaningful insights from data. On the other hand, Machine learning analyzes and examines large chunks of data automatically. It automates the data analysis process and makes predictions in real time without any human involvement. You can further build and train the data model to make real-time predictions. Additionally, Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.
With a background in machine learning and Prompt Engineering you can get a high-paying job as a Machine Learning Engineer, Hadoop Developer, Business Analyst Python Developer, Prompt engineer, Generative AI expert, Human-Centered Machine Learning Designer, and various other profiles.
Who This Course is for?
- This course is structured for any undergraduate or job seeker who wants to start his / her career in the Data Science & Machine Learning field.
- Any working professional with experience in the non-IT domain and looking to enter the IT field.
- Any Fresh graduate or post-graduate looking to secure a career in the IT domain.
Why Join Us
- Learn Python Programming & Data Science Solutions.
- Learn Hadoop in an industrial environment with practical demonstrations and live scenarios.
- Learn from our experienced and skilled Data Scientists who will be training systematically.
- High-Quality Standard Maintenance in each session delivery.
- Train on real projects to enhance your skills and make yourself industry-ready.
- Learn corporate ethics and moral code of conduct.
| Sr. No. | Topics |
| 1. | Introduction to Python Programming |
| 2. | Installation & Environment Settings of Python IDE |
| 3. | Python Basics |
| 4. | Python Numbers |
| 5. | Python String |
| 6. | Python Container Objects |
| 7. | Condition & Looping |
| 8. | Functions |
| 9. | Python Programming |
| 10. | Machine Learning Introduction |
| 11. | SUPERVISED LEARNING |
| 12. | Introduction to big data |
| 13. | Introduction to Hadoop |
| 14. | Hadoop component |
| 15. | Transform data using power query editor |
| 16. | Creating relationship model |
| 17. | DAX |
| 18. | Creating interactive dashboard |
| 19. | Generative Learning |
| 20. | Generative Learning Technical concepts |
| 21. | Large Language Models(LLM) |
| 22. | Large Image Model (LIM) |
| 23. | Video and speech tools |
| 24. | Prompt Engineering |
| 25. | CASE STUDY |
Learning Outcome
- This Course will make you a Proficient Data Scientist and a Machine Learning Engineer.
- At the end of this course, you will have a solid understanding of Python Programming, Data visualization using Python libraries, concepts used for Data Science & Machine Learning Algorithms on Real Projects.
- Complete understanding of different types of Machine Learning Algorithms with practical demonstration.
- You will also understand how to manipulate big data sets using Hadoop
- Complete Understanding of Data visualization using PowerBI.
- Also, you will have a solid understanding of prompt engineering, & Generative AI tools used on Real Projects.
- You will be able to use Large language models, large image models, video models and text to speech models efficiently.
- Complete understanding of different types of Gen AI tools with practical demonstration.
- Practical exposure to various projects to hone hands-on expertise.
