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AI & Machine Learning for the Enterprise Overview (Light Hands-on)
Description
Exploring AI and Machine Learning for the Enterprise Introduction
Welcome to “Exploring AI and Machine Learning for the Enterprise,” a specialized training course designed for professionals eager to master the nuances of artificial intelligence (AI) and machine learning (ML) within the corporate landscape. This course is ideal for developers transitioning into data science, analytics managers who lead data-driven teams, and business analysts seeking to enhance their data science expertise.
Dive into the heart of AI and ML technologies and discover their transformative potential in business through a curriculum that balances foundational knowledge with advanced applications. You will learn to navigate the latest tools and technologies, apply them effectively in your business operations, and evaluate their impact on strategic decision-making and innovation. By the end of this program, participants will possess a thorough understanding of how AI and ML technologies can drive business efficiency and foster innovation in the enterprise setting.
This course offers a practical approach to AI and ML, focusing on real-world applications and integration strategies tailored for the enterprise environment. It is structured to empower you with cutting-edge skills and insights that position you at the forefront of the AI and ML evolution in the business world.
Exploring AI and Machine Learning for the Enterprise Overview
- Understand the Fundamentals: Grasp core concepts and techniques of AI and ML, and how they can be applied in an enterprise context.
- Tool Mastery: Learn to use the latest AI and ML tools and technologies to solve real-world business problems.
- Strategic Impact: Analyze the effects of AI and ML on business strategies and decision-making processes.
- Practical Application: Gain hands-on experience in implementing AI and ML solutions within a business setting to enhance operational efficiency.
- Leadership Skills: Develop skills to lead and manage data-driven teams effectively in adopting and integrating AI and ML technologies.
Prerequisite
- Students attending this class should have a grounding in Enterprise computing.
- Students attending this course should be from a somewhat technical background, and familiar with Enterprise IT, have a general (high-level) understanding of systems architecture, as well as some knowledge of the business drivers that might be able to take advantage of applying AI.
- Basic knowledge of Python scripting is also helpful but not required.
- The hands-on labs in this course may leverage some basic Python scripts as needed, but the labs can be completed in a ‘follow-along’ format, under the guidance of the instructor. Prior experience with Python can be helpful but is not necessary.
Audience
This course is ideally suited for a wide variety of technical learners just getting started with AI or machine Learning, seeking a primer-level overview of these technologies, skills and related tools. Attendees might include:
- Developers aspiring to be a ‘Data Scientist’ or Machine Learning engineers
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand data science techniques
- Information Architects who want to gain expertise in Machine Learning algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in Data Science and machine learning
- Experienced professionals who would like to harness machine learning in their fields to get more insight about customers
Exploring AI and Machine Learning for the Enterprise Outline
Introduction to AI and Machine Learning
- Understand the fundamentals of AI and machine learning and their significance in modern business.
- Explore various definitions and types of AI.
- Discuss the role of AI in the contemporary business landscape.
Deeper Dive into Machine Learning
- Dive into the mathematical foundations of AI.
- Explore different machine learning algorithms, including supervised and unsupervised learning.
- Understand how machine learning contributes to business decision-making.
Leveraging AI in Business and Decision Making
- Discover key business areas where AI adds value, from operations to marketing.
- Learn about predictive analytics and its role in strategic decision-making.
- Explore real-world case studies of AI implementation in businesses.
Hot Trends for AI in Business
- Gain insights into emerging trends like Large Language Models (LLM), Generative AI, and GPT.
- Explore the applications of Generative AI and GPT across sectors.
- Engage in hands-on exercises using GPT-based tools.
Basics of Neural Networks
- Learn about neural networks, their components, and types.
- Understand how neural networks learn and the training process.
- Explore practical applications of neural networks, such as image recognition and language processing.
Natural Language Processing (NLP) & Sentiment Analysis
- Explore the world of NLP and its applications.
- Dive into sentiment analysis techniques and their significance.
- Hands-on lab: Analyze customer feedback using a sentiment analysis tool.
Using AI for Image, Video, and Audio Processing
- Discover AI’s role in image and facial analysis.
- Explore audio processing capabilities.
- Engage in practical image recognition exercises.
AI for Business Technical Tools
- Learn about essential AI tools, including Python, NumPy, Pandas, and more.
- Understand the role of deep learning in AI.
- Explore cloud-based AI solutions from leading providers.
Practical Applications and the Future of AI in Business
- Gain insights into the future of AI in business.
- Address ethical considerations in AI implementation.
- Prepare for what’s next in the world of applied AI.
Hands-on Practice, Resources, and Next Steps
- Participate in hands-on exercises to reinforce your learning.
- Access valuable AI and ML communities and resources.
- Plan your next steps in the world of AI and machine learning.
$1895.00
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2 Days Course |