Introduction to AI & Machine Learning JumpStart (TTML5503)
Geared for technical professionals, our Introduction to AI & Machine Learning JumpStart course is a three-day, hands-on workshop style event designed to get you quickly up and running with latest skills, tools and tech in essential AI and ML, demystifying the field of artificial intelligence without drowning you in mathematics. Whether you’re a budding developer or a tech enthusiast, we’ll guide you through the foundations of AI and machine learning, and equip you with the knowledge, problem-solving skills and confidence needed to apply this innovative tech in real-world scenarios.
The course is rich with hands-on activities, challenge labs, knowledge checks, valuable discussions and focused projects that can be done individually or in groups. Working in a hands-on learning environment, guided by our engaging AI expert, you’ll explore AI and Machine Learning essentials, practical examples, tools and best practices. You’ll learn how to integrate AI and machine learning principles into real-world projects, enabling you to innovate in areas like product development, customer experience enhancement, and complex problem-solving. You’ll explore the differences and applications of supervised, unsupervised, and reinforcement learning, laying the groundwork for exploration and utilization in diverse contexts. You’ll learn how to employ AI and machine learning concepts for making informed, data-driven decisions that can have far-reaching impacts on various aspects of business and technology.
Throughout the course you’ll gain highly-valuable, expert guided experience using cutting-edge tools and algorithms through hands-on labs, ensuring that you can confidently apply these new skills and concepts in practical scenarios. You’ll leave the event well-versed and ready to apply key AI and Machine Learning concepts in your work. Whether you’ll be coding algorithms, classifying data, or optimizing machine learning models, you’ll have the essentials skills needed to tackle any AI-related project.
- Price: $2,195.00
- Duration: 3 Days
- Delivery Methods: Virtual
| Start Date | Class Times | Price | Enroll |
|---|---|---|---|
| 08/26/2024 | 9:00 AM – 5:00 PM CT | $2,195.00 | |
| 10/07/2024 | 9:00 AM – 5:00 PM CT | $2,195.00 | |
| 11/18/2024 | 9:00 AM – 5:00 PM CT | $2,195.00 |
| Start Date | Class Times | Price | Enroll |
|---|---|---|---|
| 08/26/2024 | 9:00 AM – 5:00 PM CT | $2,195.00 | |
| 10/07/2024 | 9:00 AM – 5:00 PM CT | $2,195.00 | |
| 11/18/2024 | 9:00 AM – 5:00 PM CT | $2,195.00 |
Why choose TOPTALENT?
- Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
- Access an expansive range of over 3,000 training courses with a strong focus on Information Technology, Business Applications, and Leadership Development.
- Have confidence in an exceptional 95% approval rating from our students, reflecting outstanding satisfaction with our course content, program support, and overall customer service.
- Benefit from being taught by Professionally Certified Instructors with expertise in their fields and a strong commitment to making sure you learn and succeed.
Learning Objectives
Working in a hands-on learnng environment led by our expert practitioner you’ll explore:
- Grasp AI & Machine Learning Basics: You’ll start your journey by understanding what AI and Machine Learning are, distinguishing between them, and discovering how they’re applied in various fields. You’ll also get a good look at practical examples of Machine Learning.
- Decode Types of Machine Learning: You’ll navigate through the different types of machine learning, including supervised, unsupervised, and reinforcement learning, and gain insight into their distinctive applications, and explore their practical application.
- Master Data Prep: You’ll learn and apply critical methods for cleaning and simplifying data
- Master Algorithms: You’ll explore popular machine learning algorithms, their applicability and limitations
- Get Hands-On: You’ll learn how to code linear regression and logistic regression algorithms in Python, and gain hands-on experience applying them in real-world scenarios in a machine learning environment working with various machine learning packages and tools.
- Optimize Machine Learning Models: You’ll dig into the art of model optimization, learning how to prevent underfitting and overfitting to ensure your machine learning models are accurate and reliable.
- Conquer Classification: You’ll uncover the secrets of the perceptron algorithm and logistic classifiers, learning how to classify data effectively and carry out sentiment analysis like a pro.
- Responsible AI Development: You’ll gain insight into the ethical considerations and responsible practices in AI, ensuring that solutions are developed with a consciousness of privacy, bias, and societal implications.
- Venture into Generative AI: You’ll step into the fascinating world of Generative AI and Generative Adversarial Networks (GANs), exploring their structure, functionality, and the concept of latent space in generative models. After the course, you’ll understand how these advanced AI models can contribute to your projects.
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional AI, machine learning, data science, programming, Python/R and other related topics that may be blended with this course for a track that best suits your needs.
This introductory-level hands-on course is suited for a wide variety of technical learners who need an introduction to the core skills, concepts, tech, tools and skills related to AI programming and machine learning.
Suitable 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
Students should have attended or have incoming skills equivalent to those in this course:
- Basic Understanding of Python as well as familiarity with Python Libraries (Pandas and Numpy, etc.). Attendees without Python background may view labs as follow along exercises or team with others to complete them.
- Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su
- Basic Math and Problem-Solving Skills
- Understanding of Basic Data Structures
Question: What if I have to reschedule my class due to conflict?
Answer: Ten (10) business days’ notice is required to reschedule a class with no additional fees. Notify TOPTALENT LEARNING as soon as possible at 469-721-6100 or by written notification to info@toptalentlearning.com to avoid rescheduling penalties.
Question: How do I enroll for this class?
Answer: Please contact our team at 469-721-6100; we will gladly guide you through the online purchasing process.
Question: What happens once I purchase a class?
Answer: You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
Question: What is your late policy?
Answer: If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
Question: What happens when I finish my class?
Answer: You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.
