Data Science for Professionals

(Focusing on Generative AI LLMs)

Designed for technical professionals, leaders, entrepreneurs, and decision-makers

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Start
STARTS IN
March

 


 

 
Time
DURATION
05 Days

 


 


 
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PROGRAM FEE
$6500

 


 


 
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FOR YOUR TEAM
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Program in Applied Data Science: Utilizing Data Science and LLM models for Decision-Making

In today's data-driven business landscape, harnessing the strategic potential of enterprise data is of paramount importance. Many organizations face challenges in effectively analyzing and leveraging their data resources. TDM's Data Science and Large Language Models (LLMs) program, now with a renewed emphasis on Data Science for 2024, is poised to bring about a transformation in this scenario. This will help professionals and businessmen across various industries.

This elite program offers:

1. Advanced Expertise in  Generative Artificial Intelligence with LLM and Strategy: Dive into the realms of AI architecture, governance, and quality, with a strong focus on the game-changing influence of Data Science and LLMs.

2. Forward-Looking AI and Data Insights: Embark on a cutting-edge journey with the Future-Oriented AI and Data Insights Program, exploring advanced AI technologies and data-driven decision-making.

3. Innovative AI Strategies at the Forefront: Develop and implement pioneering AI strategies that seamlessly incorporate Data Science and LLM technologies.

4. Tailored Solutions for Organizational Challenges: Address specific challenges, from crafting effective AI strategies to managing digital transformation, harnessing the potential of Data Science and LLMs.

5. Practical, Actionable Insights: Gain valuable insights from real-world case studies and examples, now featuring applications of Data Science and LLMs that you can readily apply in your workplace.

6. Leadership in AI Strategy: Establish yourself as a trailblazer in AI-driven transformations, unlocking new career opportunities through mastery of the latest Data Science and LLM technologies.

7. Skills for Emerging AI Roles: Equip yourself for the unique challenges and opportunities in data-centric roles in the AI era, with a special focus on Generative AI and LLMs.

93%

of organizations plan to boost AI investments, particularly in Generative AI and LLMs, amidst economic uncertainties.

(Cisco, 2023)

66%

of C-suite executives report incorporating Generative AI in their AI strategies.


(QuantumBlack AI by McKinsey, 2023)

26%

rise in global English-language job postings that mention Generative AI and LLM expertise.

(LinkedIn's Future of Work Report—AI at Work, 2023)

Embrace the forefront of AI strategy integration with Generative AI and LLMs through TDM’s innovative online program.

Program Highlights

Live Hands-On Project and Generative AI Implementation Workshop, Training

1. Comprehensive Generative AI & LLMs Focus: 5-day in-person course covering Data Science, Machine Learning, and LLM with practical business applications.

2. Industry-Relevant Hands-On Experience &Curriculum: Emphasizes critical thinking in AI for customer service, marketing, sales, and engineering in Prop-tech, Ed-tech and Healthcare.

3. Interactive and Advanced Learning: Hands-on sessions with Google Colab, specializing in ML, NLP, Deep Learning, and LLM integration Models.

4. Expert-Led Instruction: Led by Arshad Khan and top leading AI experts having PhD in Machine Learning, Data Science. Moreover, AI Professionals offering extensive experience in Generative AI design and data science.

5. Flexible Learning Options: Available option(in-person) in Irvine, CA, with live streaming and future on-demand learning opportunities.

This structured 5-day bootcamp is designed to provide a comprehensive understanding of Data Science and its applications, with a special focus on LLMs. Participants will gain both theoretical insights and practical experience, enabling them to apply AI technologies in their respective fields effectively.

Course Content

Here’s a comprehensive breakdown for a 5-day bootcamp syllabus, with each day divided into morning and afternoon sessions, focusing on different aspects of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs):

Day 1: Foundations and Practical Applications of Data Science & Machine Learning
Morning Session: Deep dive into Data Science, delving into Artificial Intelligence
Nuances, and elucidating the pivotal role of Big Data and Data Engineering in the overarching framework. Participants garner insights into machine learning fundamentals, encompassing supervised and unsupervised learning paradigms, regression, classification, and clustering techniques. The discourse then shifts to practical business challenges, introducing the DevMasters framework and underscoring nuanced considerations during model implementation. The morning crescendos with intricate discussions on strategizing approaches, formulating evaluation criteria, and engaging in hands-on exercises utilizing the Google Colab environment.
Afternoon Session: Exploratory Analysis, Advanced Techniques, and Project Work
The afternoon session immerses participants in the intricacies of Exploratory Data Analysis,leveraging tools such as Matplotlib and Seaborn, complemented by sophisticated web scraping methodologies and an incipient exploration of time series analysis. Transitioning to advanced machine learning, participants delve into feature engineering intricacies, nuanced modeling methodologies, meticulous fine-tuning strategies, error reduction techniques, and optimization frameworks. The session culminates in an applied context, with participants engaging in hands-on machine learning projects, adeptly applying advanced techniques to real-world challenges utilizing platforms like Google Colab. This consolidated program provides an immersive and technical exploration of Data Science and Machine Learning.

Day 2: Specialization in Machine Learning Fine tuning model Casual Inference
Morning Session: Causal Inference with Python for AI Professionals
This session, "Causal Inference with Python for AI Professionals," is tailored for technical exploration of causal inference specifically designed for AI professionals. The five modules will delve deeply into vital concepts such as distinguishing causality from correlation, introducing Python libraries like DoWhy and CausalML, applying methods such as Propensity Score Matching and Difference-in-Differences, engaging in practical hands-on exercises with real-world data, and concluding with an interactive Q&A session.
 
 
Afternoon Session: Advanced Machine Learning Modeling with Causal Inference
This day-long session is a comprehensive review of approaching business challenges with machine learning, guided by the principles of a machine learning framework. We'll discuss crucial components to consider both before and during the implementation of machine learning models. Topics include defining business objectives, strategizing approaches, and establishing evaluation criteria. Practical work will be carried out on a suitable machine learning platform.
 

Day 3: Advanced AI Techniques for Professionals
Morning Session: NLP, Large Language Models, and Ethical Considerations
Delve into Natural Language Processing (NLP) and Large Language Models (LLM). Master the Natural Language Toolkit for processing and extracting text data. Embark on an NLP project with Yelp data, exploring Sentiment Analysis to predict Yelp reviews. Investigate the transformative impact of LLMs like GPT-3 on natural language understanding and text generation. Address ethical considerations in the realm of LLMs, ensuring a comprehensive understanding of responsible AI
Afternoon Session: Deep Learning Concepts and Real-World Applications
In the second half of our program, immerse yourself in the concepts of deep learning. Learn about neural network training and visualization using TensorFlow Playground. Actively engage in a business use case, leveraging natural language processing and text analytics. Apply the knowledge and skills gained throughout the program to tackle real-world challenges. This consolidated program offers an in-depth exploration of advanced AI techniques, covering NLP, LLMs, deep learning, and practical applications.

Day 4: Master Machine Learning & NLP, Deep Learning Models , Computer vision
Morning Session: Project-Based Learning - Machine Learning
In this session, students have the flexibility to choose a project from a range of options offered by TDM. The primary focus of this project is to delve into advanced machine learning models and experience the complete lifecycle, from development to deployment. It provides a hands-on opportunity to apply advanced machine learning techniques and gain insights into the end-to-end deployment process.
Afternoon Session: Project-Based Learning - NLP, LLM, and Deep Learning
During this session, students are empowered to select a project based on their preference within the domains of Natural Language Processing (NLP), Large Language Models (LLM), or Deep Learning. They will have the opportunity to work on their chosen project and gain practical experience in deploying solutions in these areas. This hands-on approach allows participants to apply their NLP, LLM, or deep learning knowledge and bring their projects to fruition. These project-based sessions offer students the chance to apply their newfound skills and knowledge to real-world scenarios, further enhancing their expertise in data science and its applications.
 

Day 5: PBL – LLM Model Integration and punning Distillation
Morning Session: Project-Based Learning – NLP Sentimental evaluation
In this session, students have the flexibility to choose a project from a range of options offered by TDM. The primary focus of this project is to delve into advanced machine learning models and experience their complete lifecycle, from development to deployment. It provides a hands-on opportunity to apply advanced machine learning techniques and gain insights into the end-to end deployment process.
Afternoon Session: Project-bases in content generation related with Text , Images , Videos and Voices
During this session, students are empowered to select a project based on their preference within the domains of Natural Language Processing (NLP), Large Language Models (LLM), or Deep Learning. They will have the opportunity to work on their chosen project and gain practical experience in deploying solutions in these areas. This hands-on approach allows participants to apply their NLP, LLM, or deep learning knowledge and bring their projects to fruition. These project-based sessions offer students the chance to apply their newfound skills and knowledge to real-world scenarios, further enhancing their expertise in data science and its applications.

Live Hands-On Project

Implementing Data Science and LLM Models Across Diverse Industries


In the "Live Hands-On Project" segment of the program, you will immerse yourself in the practical application of Data Science and Large Language Models (LLMs), tackling real-world challenges across key sectors: healthcare, real estate, fashion, edtech (educational technology), and sales marketing. This program provides an opportunity to apply and exhibit your Data Science expertise in varied industries.

1. Understanding the Industry using Use Cases

Specific Data Science Applications Begin by grasping how Data Science is uniquely applicable in healthcare, real estate, fashion, edtech, and sales marketing. Identify and outline specific Data Science use cases for each sector, acknowledging their unique requirements and potentials.

2. Data-Driven Management and Insight Generation using Generative AI & LLMs

Utilize Data Science and LLMs for effective management and insightful analytics in each field. In healthcare, this could mean data-centric diagnostics and optimizing patient care, whereas in real estate, it involves predictive analytics for market trends and investment insights.

3. Selecting the Right Data Science Technology and Leveraging Data Analysis

Opt for the most fitting Data Science technologies and data analysis methods for each industry. In fashion, Data Science might predict trends and consumer behavior, while in edtech, it could enhance individualized learning experiences and content assessment.

4. Developing Strategies for Data Science-Driven Organizational Cultures

Design specific strategies to nurture Data Science-driven cultures within industries. This includes integrating Data Science technologies into corporate processes and aligning company practices with data-focused methodologies.

5. Business Use Case Implementations with Data Science
• Healthcare: Implement Data Science for comprehensive patient data analysis, tailored    treatments, and groundbreaking medical research.
• Real Estate: Utilize Data Science for sophisticated market trend analysis, immediate       property assessments, and strategic investment approaches.
• Fashion: Employ Data Science for instantaneous trend prediction, analyzing customer     behavior, and managing supply chains.
• EdTech: Apply Data Science to develop adaptive learning platforms, analyze content     efficacy, and forecast academic performance metrics.
• Sales Marketing: Use Data Science for detailed customer insight analysis, market     segmentation, and customized marketing strategies.

Completing the Live Hands-On Project will culminate in a diverse portfolio that demonstrates your capability to employ Data Science and LLM models in a range of industry settings. This portfolio will act as a valuable asset in showcasing your sophisticated Data Science skills to future employers and industry stakeholders.

Who Should Attend?

This program is perfectly suited for a diverse range of professionals, from technical experts to non-technical entrepreneurs, who are eager to explore the transformative potential of Generative AI and Large Language Models (LLMs). It is particularly beneficial for:

 1. Startup Entrepreneurs, Business Owners and Managers: Those looking to integrate Generative AI and LLMs into their business operations, seeking to enhance decision-making and innovation through advanced AI insights.
 2. Technology Professionals and Consultants: Individuals aiming to deepen their expertise in the latest AI technologies and apply this knowledge to deliver cutting-edge solutions in various industries.
 3. No-Coder Entrepreneurs: Entrepreneurs without a technical background but with an eagerness to leverage Generative AI and LLM tools to innovate and scale their business ideas.
 4. Business Leaders: Executives and decision-makers intending to set organizational strategies or reshape business processes by harnessing the power of Generative AI and LLMs.
 5. Career Pivoters: Professionals from any field looking to transition into roles focused on AI strategy, seeking to gain a competitive edge in the evolving job market.
 6. Non-Technical Professionals: Individuals from non-technical backgrounds who are curious about the applications of AI in their respective fields and want to contribute to AI-driven projects and strategies.
This program offers a unique opportunity for attendees from various professional backgrounds to explore the vast possibilities of Generative AI and LLMs, empowering them to drive innovation and achieve strategic goals in their respective domains.
Program Experience
In Person Training

In Person Training

Hands-on Training

Hands-on Training(50+Hours)*

Office Hours

Office Hours

Case Studies

Applying Generative AI in Various Industries

Healthcare
 
 
1.Healthcare

Enhancing Patient Care and Medical Research

Personalized Treatment Plans: Generative AI analyzes patient data, including genetics and lifestyle, for tailored treatments. This leads to improved management of chronic diseases and more precise oncology treatments.

EdTech
 
 
2.EdTech

Customized Learning Experiences

Adaptive Learning Platforms: AI algorithms personalize learning by adjusting to student performance, resulting in higher engagement and better learning outcomes.

Real Estate
 
 
3. PropTech (Property Technology)

Optimizing Real Estate Investments

Predictive Market Analysis: AI is used for forecasting real estate trends, aiding in identifying lucrative investment opportunities. This results in higher ROI for real estate firms through informed decision-making.

These case studies illustrate the versatile applications of Generative AI across different sectors, showcasing its potential to revolutionize industries by providing more personalized, efficient, and data-driven solutions.

Program Faculty

Arshad K. Follow me on LinkedIn

Founder / AI Chief Product Design & Innovation
theDevMasters

Program Benefits with TDM

Enrolling in TDM’s “Data Strategy: Leveraging Data with Data Science and LLM Models” program can be a pivotal step in advancing your career, particularly for tech professionals, entrepreneurs, and industry leaders. This program, rooted in research foundations comparable to prestigious institutions like MIT and Harvard, offers a unique blend of Data Science and business acumen, reflecting TDM's decade-long experience in the AI industry.

Upon completion, participants have the opportunity to not only gain new skills but also to connect with a network of professionals and experts in the field. Key features and benefits of the program include:

1. Exclusive Access to a Professional Network:
Join TDM’s global network of professionals, entrepreneurs, and industry leaders.

Participate in networking events and seminars that bring together experts from various fields, offering a platform to share insights and foster collaborations.

2. Ongoing Learning and Development:
Unique to TDM, participants can retake the program at no additional cost until they achieve success, ensuring a deep and thorough understanding of the content.

Access to continuous learning resources and updates in the field of AI and data strategy.

3. TDM's B2B Consulting and Product Division:
Engage with TDM's consulting arm, which specializes in helping organizations conduct research, partner on projects, and build prototypes.
Benefit from TDM's expertise in bridging the gap between theoretical knowledge and practical application in the business world.
4. Events and Conferences:
Attend TDM-hosted conferences and events, designed to keep alumni at the forefront of industry trends and developments.

Engage with speakers and thought leaders from the AI and business sectors.

5. Gain lifelong mentorship and support:
Get the added benefit of lifetime access and updates to the program, available on a first-come, first-served basis upon registration.

theDevMasters approved by BPPE grant participants a verified digital certificate of completion*.

6. Certification and Recognition:
Earn a certification from TDM, recognized in the industry for its rigorous and practical approach to AI and data strategy education.

Use this certification as a mark of distinction in your professional journey.

6. News and Communication Updates:
Unique to TDM, participants can retake the program at no additional cost until they achieve success, ensuring a deep and thorough understanding of the content.

Stay informed with the latest news, research, and advancements in AI and data strategy through TDM’s exclusive channels.

This program is not just an educational course; it's a gateway to becoming part of a vibrant community of professionals who are shaping the future of AI in business. Whether you're looking to enhance your skills, expand your network, or seek new opportunities, TDM’s program offers a comprehensive path to achieving these goals.

Certificate

Upon successful completion of the program, theDevMasters approved by Bureau for Private Postsecondary Education grants a verified digital certificate of completion to participants. Participants must complete 90% of the required activities and Live Hands-On-Project.

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Data Science certificate

Note: This program results in a digital certificate of completion and is not eligible for degree credit/CEUs. After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of theDevMasters Executive Education.

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