Exploring AI & Machine Learning for the Enterprise (TTML5500)
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About This Course
Learn how Artificial Intelligence is being applied in modern business.
Learn the foundations of Artificial Intelligence (AI), including its sub-fields, and how it can be applied in modern business. This course introduces AI from a practical business perspective.
This is a lecture based course with engaging instruction, demos, and group discussions.
Course Agenda
Introduction to AI & Machine Learning
- Understand what AI and Machine Learning are and why they’re critical for modern business.
- Review definitions and types of AI.
- Discussing AI in the Modern Age and its role in business.
- Embrace Change: Learn and Build Confidence using the Tools – Don’t be Replaced By Them.
Deeper Dive into Machine Learning
- What is AI vs Machine Learning vs Deep Learning.
- Explore basics of how mathematics are used in or apply to AI.
- Algorithms: What are they and how are they used in AI and ML.
- Supervised vs Unsupervised.
- Explore the role of Machine Learning in AI and business decision-making.
Leveraging AI in Business & Decision Making
- Discuss key business areas where AI adds value: Operations, Marketing, Sales, HR, content development, coding and software development.
- Explore how AI is used in business decision-making.
- Introduction to predictive analytics.
- Explore using AI for strategic decision-making.
Hot Trends for AI in Business: Large Language Models (LLM), Generative AI and GPT
- Understand the basics of Generative AI and how it differs from other AI techniques.
- Learn about to GPT and its applications in various sectors.
- Learn how GPT uses machine learning to generate human-like text based on the input it receives.
- Explore the concept of language models and how they are trained using large amounts of text data.
Basics of Neural Networks
- What are they and how are they used?
- Basic parts: Neurons, activation functions, interactions.
- Types: Feedforward, recurrent, convolutional neural networks overview.
- How they learn: Forward propagation, backpropagation explained.
- Training Neural Networks: Importance of data pre-processing in training.
- Deep Neural Networks: Advantages and practical applications overview.
- In Action: Image recognition, language processing, etc. use cases.
- Ethical Considerations: Addressing biases and ethical concerns in neural networks.
Natural Language Processing (NLP) & Sentiment Analysis
- What is NLP and how is it used?
- NLP Language and Semantic Meaning, Bigrams, Trigrams, n-Grams, Root Stemming and Branching.
- Introduction to Sentiment Analysis: Sentiment indicators, Sentiment Sampling, Predicting Elections based on Sentiment Analysis.
Using AI for Image, Video, and Audio Processing
- Learn about Image processing and Identification, Facial Analysis, Audio Processing.
- Discuss the role of AI in analyzing streaming video and real-world AV processing.
AI for Business Technical Tools: Data Science, Deep Learning & The Cloud
- Applying AI in Data Science overview.
- Survey of Tools & Tech: Python, NumPy, Pandas, SciKitLearn, Hadoop, Spark.
- NoSQL Databases.
- Deep Learning Quick Look.
- AI for Business in the Cloud overview.
Practical Applications and the Future of AI in Business
- What’s next in applied AI for businesses.
- New AI trends shaping the future of business.
Learning Objectives
What AI is and what it isn’t
The different types and sub-fields of AI
The differences between Machine Learning, Expert Systems, and Neural Networks
The latest in applied theory
How AI is used in processing language, images, audio, and the web
The current generation of tools used in the marketplace
What’s next in applied AI for businesses
Inclusions
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
Pre-requisites
- A grounding in enterprise computing
- Familiarity with enterprise IT
- A high-level understanding of systems architecture
- Knowledge of your business drivers that could take advantage of AI
- Basic knowledge of scripting
Target Audience
- Business Analysts, Data Analysts, Developers, Administrators, Architects, Analytics Managers, and technical Executives who are new to AI.
Curriculum
41 Lessons8h
1. Artificial Intelligence
2. Machine Learning
3. Expert Systems
4. Neural Networks
5. Natural Language Processing
6. Image, Video, and Audio Processing
7. Sentiment Analysis
8. Current Tools of the Trade
9. What’s Next in AI
Your Instructors
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Free
8 hours
Inclusions
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
