Python for Beginners
AI-101
What You will Learn
This course is designed to introduce Python programming to college & school students, professionals in corporate and SME environments. It covers fundamental Python syntax, data structures, basic algorithms, and practical applications relevant to various business operations and challenges.
Job Opportunities
- Junior Data Analyst
- Automation Test Engineer
- Data Science Intern
- Freelance Python Programmer
Duration Course
- 12 Weeks
- 100 Hours of Mentorship
- Projects
- 30 Course Videos
Course Content
Python Beginner Course
- Module 1: Introduction to Python
- Module 2: Basics of Python Programming
- Module 3: Control Structures
- Module 4: Data Structures
- Module 5: Functions Modules, File Handling
- Module 6: Introduction to Object-Oriented Programming (OOP) Module 7: Python error handling
- Module 8: Visualization and Data Analysis
- Module 9: Introduction to Machine Learning with Python Module 10: Capstone Project and Introduction to Project based learning.
- Conclusion and Next Learning Path
- Practical Workshops and Case Studies
- Skill Acquisition: Master the fundamentals of Python programming, setting a strong foundation for future learning in tech.
- Career Flexibility: Open doors to diverse career paths in tech, from development to data analysis.
- Entrepreneurship and Freelancing: Equip yourself with the technical know-how to start your own tech-based startup or offer freelance programming services.
Basic computer literacy High-school level mathematics
- Custom Python script development for automation and data processing. Basic data analysis and visualization to support business decision-making. Machine learning model development for predictive analytics.
- Web scraping services for data collection and analysis.
- Technical support and consultancy for Python-based projects.
Successful students can launch startups to:
- Tech Consultancy: Offer consultancy services for businesses looking to implement Python solutions.
- Data Analysis Firm: Utilize Python skills to analyze data and provide insights for companies in various sectors.
- EdTech Solutions: Develop educational platforms or tools leveraging Python’s versatility.
- AI/ML Startup: Initiate a startup focused on developing machine learning models or AI-driven solutions for industry-specific problems.
- Automation Services: Create solutions that automate repetitive tasks for businesses, enhancing efficiency and reducing costs.
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Generative AI
This dynamic course, “Innovating with Generative AI: Project-Based Learning,” offers a deep dive into generative AI technologies, focusing on hands-on project work with large language models (LLMs) like Mistral or Llama. Students will gain a solid foundation in machine learning, explore the intricacies of GANs and VAEs, and apply their knowledge to create AI-driven solutions across various domains, including retail, agriculture, healthcare, manufacturing, energy, sustainable technology, and business innovation. The curriculum emphasizes ethical AI use and culminates in a capstone project where students will tackle real industry challenges, providing a pathway to employment, entrepreneurship, or freelance opportunities in the cutting-edge field of generative AI.
Can You Solve the Project Challenge?
GENERATIVE AI
AI-601
Generative AI technologies, including the latest LLMs
Leadership in Ethical & Responsible AI
ETHAI-601
Ethical AI, governance frameworks, stakeholder engagement
Precision Agriculture with AI
PSC-PAI-102
In-depth exploration of Gen AI, ML and Deep Learning
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Our Mission: Empower our community with practical Al knowledge through Wersel Projects, solving real-world and environmental challenges.
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