data science for Professionals

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.

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.

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

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.

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.

Arshad K.

Founder / AI Chief Product Design & Innovation

theDevMasters

Sidy Danioko

Cheif Data Scientist

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:

Data Science for Professionals

(Focusing on Generative AI LLMs)

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

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