Python Language – Use in AI Course

The Python Language – Use in AI course is a 6-week program that teaches how to leverage Python for developing AI and machine learning applications. Learn to use essential libraries such as NumPy, TensorFlow, and Scikit-learn to build AI solutions.

Aim

This course is designed to give participants a strong foundation in Python as a crucial tool for artificial intelligence (AI). It will equip them with the skills needed to develop and implement Python-based AI solutions across different industries effectively.

Program Objectives

Master Python for AI: Gain a thorough understanding of Python's role in AI development.
Practical Skills: Learn to apply Python in key AI fields like machine learning and natural language processing (NLP).
Problem-Solving with AI: Build the ability to solve real-world problems using Python-powered AI techniques.

Program Structure

Introduction to Python for AI

Discover why Python is widely used in AI projects and its main benefits.

Python Fundamentals

Learn the basics: variables, data types, control flow, functions, loops, and error handling.

Data Structures and Algorithms

Work with lists, tuples, dictionaries, and sets.
Understand basic algorithms used in AI.

Data Handling for AI

Use NumPy for handling numerical data.
Work with Pandas for data manipulation and analysis.

Data Visualization with Python

Create insightful visualizations using Matplotlib and Seaborn, applied to real-world AI projects.

Introduction to Machine Learning

Learn the essentials of machine learning.
Use Scikit-learn for supervised and unsupervised learning tasks.

Deep Learning with Python

Build neural networks using TensorFlow and Keras.
Explore convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for deep learning applications in image or text recognition.

Natural Language Processing (NLP)

Work with NLTK and spaCy for tokenization, stemming, and lemmatization.
Build NLP applications like sentiment analysis and chatbots.

AI for Data Science and Analytics

Analyze large datasets using Pandas and NumPy.
Work on a case study involving predictive analytics with AI models.

Advanced Python Techniques

Master object-oriented programming for scalable AI solutions.
Learn about multithreading to enhance performance.

Deploying AI Models

Learn how to deploy AI models using Flask and FastAPI.
Get introduced to cloud services like AWS and Google Cloud for deploying AI solutions.

AI Projects and Real-World Applications

Work on practical projects that use AI to solve problems in fields like finance, healthcare, and social media analytics.

Ethics in AI Development

Discuss important ethical considerations in AI, including bias, fairness, and responsible AI practices.

Participant Eligibility

Students: M.Tech, M.Sc, and MCA students in IT, Computer Science, or related fields.
Professionals: E0 & E1 level professionals working in BFSI, IT services, consulting, or fintech.

Program Outcomes

Advanced Python Skills: You’ll gain expert-level Python skills tailored for AI development.
AI Project Expertise: Learn to implement, manage, and deploy AI projects using Python effectively.
Strategic Insight: Understand how to use Python in AI projects to drive business and technological innovation.

Program Deliverables

e-LMS Access: Online access to all course materials.
Hands-on Projects: Real-time projects with mentorship to apply your learning in practical scenarios.
Research Paper Publication: Opportunities to publish your work in academic journals.
Self-Assessment: Tools to evaluate your progress throughout the course.
Final Examination: Assess your skills and knowledge at the end of the program.
e-Certification: A certificate to acknowledge your successful completion of the course.
Career Support: Guidance on career opportunities and connections with AI professionals.

Future Career Prospects

AI Developer: Use Python to develop AI applications and tools.
Data Scientist: Apply Python in data analysis, machine learning, and AI.
AI Researcher: Contribute to cutting-edge research and development in AI using Python.

MODE	Online/ e-LMS
TYPE	Mentor Based
LEVEL	Moderate
DURATION	6 weeks

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Python Language – Use in AI Course

Aim

Program Objectives