Advanced AI & Applied Data Science with Python(Level3)

Our Advanced AI and Applied Data Science with Python training course builds upon fundamental concepts, taking your skills to the next level. This course is ideal for those with prior knowledge in AI and data science, aiming to delve deeper into advanced topics and Applications.

Course Duration:

• Weekday: 4 Months
• Weekend: 6 Months

What is the Course About?

The Advanced AI and Applied Data Science with Python course is designed for individuals looking to deepen their expertise in artificial intelligence and data science. Building on foundational knowledge, this advanced course covers cutting-edge topics in AI, deep learning, natural language processing, computer vision, and advanced machine learning techniques. It also includes practical applications, mathematical underpinnings, and hands-on projects to ensure a comprehensive understanding of these complex subjects.

What Will You Learn?

In our advanced AI and Applied Data Science course, you’ll deepen your knowledge with:

• In-depth Mathematical Explanation and Python Implementation: Master linear algebra, advanced statistics, and algorithms like regression, SVMs, neural networks, and clustering through rigorous mathematical understanding and practical Python implementation.
• Additional Python Topics: Expand skills with urllib, logging, requests, Flask, Flask Restful, FastAPI, Pydantic, SQLAlchemy, and handling OS operations, JSON, and CSV data.
• Linux and Containerisation: Learn essential Linux commands and gain proficiency in Docker and Docker-Compose for effective AI model deployment and environment management.
• Cutting-edge Technologies: Dive into deep learning, computer vision with CNNs, ViTs, and large language models (LLMs) such as GPT-3, applying these through hands-on projects and reinforcement learning principles.
• Reinforcement Learning: Explore principles including Markov Decision Process (MDP), policy optimization, reward mechanisms, and value functions, alongside traditional and deep reinforcement learning methods.
• Application-Level ML Project: Master end-to-end AI project implementation, covering data preprocessing, model training, and evaluation for real-world AI challenges.

Skills You Will Gain

By completing this course, you will:

• Master essential linear algebra and advanced statistics for data analysis and modeling.
• Develop proficiency in implementing complex machine learning algorithms like regression, SVMs, neural networks, clustering, and reinforcement learning using Python.
• Gain expertise in Python for advanced data handling, including Flask, FastAPI, Docker, and managing JSON and CSV data.
• Explore cutting-edge technologies like CNNs, ViTs, and large language models (LLMs) such as GPT-3 through practical projects.
• Acquire skills to execute end-to-end machine learning projects, from data preprocessing to model deployment, ready for real-world applications.

Why should I enroll into this course?

Enroll in this course to:

1. Master advanced AI and Applied Data Science topics, including deep learning and large language models (LLMs).
2. Gain hands-on experience with Python for AI, from algorithm implementation to model deployment using Flask, FastAPI, and Docker.
3. Prepare for in-demand roles in AI and data science with industry-relevant projects and expert instruction.
4. Build a professional network and receive personalized mentorship for career advancement.

Career Pathways, Average Salary and Hiring Companies:

Career Pathways

Upon completing this advanced AI and Applied Data Science course, you’ll be prepared for diverse career pathways such as:

1. Data Scientist: Analyzing complex datasets, building machine learning models, and deriving insights.
2. Machine Learning Engineer: Developing algorithms and deploying models for real-world applications.
3. AI Research Scientist: Advancing the field through innovative research in deep learning and large language models.
4. AI Consultant: Providing strategic guidance on AI adoption and implementation across industries.
5. AI Solutions Architect: Designing scalable AI solutions to meet business objectives.

Average Salary: Salaries in these roles vary based on experience and location. On average, professionals in AI and data science earn competitive salaries, with entry-level positions starting from approximately $70,000 per year and senior roles exceeding $150,000 annually.

Hiring Companies: Companies actively seeking professionals with advanced AI and data science skills include technology giants like Google, Facebook, Amazon, and Microsoft, as well as innovative startups, consulting firms, and research institutions worldwide.