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The Data Science, AI, ML, and DL Overview session offers participants a foundational understanding of these transformative fields. In two hours, attendees will explore the core principles of data science, including data collection, analysis, and visualization, and gain insights into artificial intelligence and its applications, such as natural language processing and computer vision. The session also covers machine learning fundamentals, including key algorithms and techniques, and introduces deep learning concepts and their advanced applications.

Additionally, participants will learn about popular tools and frameworks used in these domains, such as Python and TensorFlow, and examine real-world case studies to see how these technologies are applied to solve complex problems. The session concludes with a look at emerging trends and career opportunities, equipping attendees with the essential knowledge to navigate and advance in these rapidly evolving fields.

Venue: College Campus or or Corporates Campus or Artz Academy Premises

Duration: 2 Hours

Date & Time: Please check on "Program Schedules" link and you can register yourself when this course dates announced

Audience: Final-year students or recent graduates from Engineering or Arts & Science colleges with a Computer Science background, as well as IT professionals

Fees: FREE

• Overview of Data Science: Introduction to the field of data science, including its role in analyzing and interpreting complex data to drive decision-making.
• Key Components: Understanding the main components of data science, including data collection, cleaning, exploration, and visualization.
• AI Concepts: Basics of artificial intelligence, including its definition, goals, and the difference between AI and human intelligence.
• AI Applications: Exploration of various AI applications, such as natural language processing (NLP), computer vision, and robotics.
• ML Principles: Introduction to machine learning, including its core concepts, types of learning (supervised, unsupervised, reinforcement), and key algorithms.
• ML Models and Techniques: Overview of common ML techniques and models, such as linear regression, decision trees, clustering, and neural networks.
• DL Basics: Understanding deep learning, including its foundation in neural networks and the structure of deep learning models.
• Applications of DL: Overview of how deep learning is used in advanced applications like image and speech recognition, autonomous vehicles, and generative models.
• Popular Tools: Introduction to tools and frameworks used in data science, AI, ML, and DL, such as Python, TensorFlow, Keras, and scikit-learn.
• Data Handling: Overview of data handling and processing tools, including Pandas and NumPy.
• Case Studies: Examination of real-world use cases and examples where data science, AI, ML, and DL are applied to solve complex problems.
• Emerging Trends: Insights into current trends and future directions in data science, AI, ML, and DL, including advancements in technology and emerging research areas.
• Career Opportunities: Overview of career paths and skills needed in these fields.

This program will be delivered by the founding members of Artz Academy. They brings over 25 years of extensive experience in the IT industry. His deep industry knowledge, coupled with decades of hands-on experience, ensures that participants will receive invaluable insights and guidance directly from seasoned professionals who have successfully navigated and shaped the tech landscape.

This program is offered through various flexible formats to suit your needs, including on-campus programs, Corporates Campus, in-person sessions at Artz Academy or our affiliated organization’s premises, and convenient online options. To stay informed about upcoming course schedules, you can regularly check the 'Program Schedules' page on our website. Additionally, if you've subscribed to our mailing list, our HR team will proactively keep you updated with the latest course dates and other relevant information.