Classroom/ Online: Yes/ No
Scheduling Date(s):
Note: Please click specific date for detailed venue and course fee etc.
DeepSeek AI: Unlocking the Future of Intelligent Applications
DeepSeek AI, an emerging leader in artificial intelligence, offers transformative solutions that are not only advanced but also cost-effective. This course is designed to introduce professionals to the unparalleled capabilities of DeepSeek AI, demonstrating how it can be seamlessly integrated across various industries to drive efficiency, innovation, and growth.
Objective
Upon completion of the course, learners will be able to:
- Discover DeepSeek AI's Unique Approach: Gain insights into DeepSeek AI's mission and its commitment to making AI accessible through open-source models.
- Explore Flagship Models: Understand the features and applications of DeepSeek-V3 and DeepSeek-R1, and how they stand out in the AI landscape.
- Ensure Data Privacy with Local Deployment: Learn how to implement DeepSeek AI locally to maintain data control, utilizing platforms like Ollama and Private LLM.
- Apply AI Across Industries: Identify practical applications of DeepSeek AI in digital marketing, policy-making, administration, and education.
- Master Fine-Tuning Techniques: Acquire skills to customize DeepSeek AI models for specific tasks, enhancing performance and outcomes.
Outline
Part 1: Introduction to DeepSeek AI
Overview of DeepSeek AI
Discover DeepSeek AI, a groundbreaking Chinese AI company established in 2023, committed to making AI more accessible through open-source models.
Comparison with Industry Leaders
See how DeepSeek’s models compare with top AI systems like OpenAI’s ChatGPT, especially in terms of performance and cost-efficiency.
Innovative Training Techniques
Understand DeepSeek’s unique training methods, including test-time scaling and inference-time computing, and their focus on joint vision-language pretraining to improve multimodal capabilities.
Part 2: DeepSeek’s Flagship Models – V3 and R1
DeepSeek-V3: The General-Purpose Model
Explore V3’s architecture and its versatility in tasks like text generation, translation, and Q&A.
DeepSeek-R1: Optimized for Reasoning
Dive into R1’s design, built specifically for complex reasoning tasks, and see how it excels in logic-based benchmarks.
Key Architectural Innovations
- Mixture-of-Experts (MoE): Maximizes parameter efficiency
- Multi-head Latent Attention (MLA): Improves inference speed and performance
Part 3: Deploying DeepSeek AI Locally to Protect Data Privacy
Addressing Data Security
Learn why local deployment matters and how it addresses common concerns around data privacy and compliance.
Benefits of Local Deployment
Gain full control over sensitive data by running DeepSeek AI models on your own hardware, ensuring regulatory compliance and information security.
User-Friendly Deployment Platforms
- Ollama: Simplifies running large language models locally with a model library and cross-platform support
- Private LLM: Keeps AI processing within your organization’s infrastructure for maximum data privacy
Step-by-Step Deployment Guide
Get practical guidance on installing, configuring, and running DeepSeek models securely.
Live Demonstration
Watch a hands-on setup of DeepSeek AI using one of the recommended platforms, with best practices for secure deployment.
Troubleshooting & Support
Identify common deployment issues and explore tips, resources, and solutions to keep your setup running smoothly.
Part 4: Real-World Applications of DeepSeek AI
Digital Marketing
Use DeepSeek AI to generate content, personalize campaigns, and boost SEO. Includes case studies on AI-driven social media strategy.
Policy and Administration
Automate data analysis and reporting for strategic planning, risk assessment, and policy development.
Education
Create smart learning content, personalized feedback tools, and AI-powered translation to support multilingual learning.
Interactive Activity
Participants will apply DeepSeek AI to develop materials relevant to their roles—marketing content, policy briefs, or educational tools.
Part 5: Fine-Tuning DeepSeek AI for Custom Use
Understanding Fine-Tuning
Learn how tailoring AI models to specific tasks can enhance accuracy and relevance.
Advanced Fine-Tuning Methods
Explore techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and Chain-of-Thought prompting to improve output quality.
Overview of DeepSeek AI
Discover DeepSeek AI, a groundbreaking Chinese AI company established in 2023, committed to making AI more accessible through open-source models.
Comparison with Industry Leaders
See how DeepSeek’s models compare with top AI systems like OpenAI’s ChatGPT, especially in terms of performance and cost-efficiency.
Innovative Training Techniques
Understand DeepSeek’s unique training methods, including test-time scaling and inference-time computing, and their focus on joint vision-language pretraining to improve multimodal capabilities.
Part 2: DeepSeek’s Flagship Models – V3 and R1
DeepSeek-V3: The General-Purpose Model
Explore V3’s architecture and its versatility in tasks like text generation, translation, and Q&A.
DeepSeek-R1: Optimized for Reasoning
Dive into R1’s design, built specifically for complex reasoning tasks, and see how it excels in logic-based benchmarks.
Key Architectural Innovations
- Mixture-of-Experts (MoE): Maximizes parameter efficiency
- Multi-head Latent Attention (MLA): Improves inference speed and performance
Part 3: Deploying DeepSeek AI Locally to Protect Data Privacy
Addressing Data Security
Learn why local deployment matters and how it addresses common concerns around data privacy and compliance.
Benefits of Local Deployment
Gain full control over sensitive data by running DeepSeek AI models on your own hardware, ensuring regulatory compliance and information security.
User-Friendly Deployment Platforms
- Ollama: Simplifies running large language models locally with a model library and cross-platform support
- Private LLM: Keeps AI processing within your organization’s infrastructure for maximum data privacy
Step-by-Step Deployment Guide
Get practical guidance on installing, configuring, and running DeepSeek models securely.
Live Demonstration
Watch a hands-on setup of DeepSeek AI using one of the recommended platforms, with best practices for secure deployment.
Troubleshooting & Support
Identify common deployment issues and explore tips, resources, and solutions to keep your setup running smoothly.
Part 4: Real-World Applications of DeepSeek AI
Digital Marketing
Use DeepSeek AI to generate content, personalize campaigns, and boost SEO. Includes case studies on AI-driven social media strategy.
Policy and Administration
Automate data analysis and reporting for strategic planning, risk assessment, and policy development.
Education
Create smart learning content, personalized feedback tools, and AI-powered translation to support multilingual learning.
Interactive Activity
Participants will apply DeepSeek AI to develop materials relevant to their roles—marketing content, policy briefs, or educational tools.
Part 5: Fine-Tuning DeepSeek AI for Custom Use
Understanding Fine-Tuning
Learn how tailoring AI models to specific tasks can enhance accuracy and relevance.
Advanced Fine-Tuning Methods
Explore techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and Chain-of-Thought prompting to improve output quality.
Who should attend
This course is ideal for:
- Digital Marketers: Professionals aiming to leverage AI for content creation, personalized marketing strategies, and SEO optimization.
- Policy Makers and Administrative Managers: Individuals seeking to utilize AI for data analysis, report automation, and informed decision-making processes.
- Educators: Teachers and academic administrators interested in integrating AI to develop learning materials, provide personalized feedback, and enhance multilingual education.
Testimonials
"Trainer was knowledgeable about the subject and he was open to sharing his experience in using AI tools.
"He shows useful use-cases so that we can have an idea on how to utilise DeepSeek."
"Know his stuff and able to show examples where questions are asked."
"He shows useful use-cases so that we can have an idea on how to utilise DeepSeek."
"Know his stuff and able to show examples where questions are asked."
Profile of Melvyn Tan
AI Strategist | Corporate Trainer & Speaker | Digital transformer | STILL Framework Creator | ACTA-certified
Melvyn Tan is a highly regarded AI Strategist, Corporate Trainer, and Speaker with over 20 years of experience spanning strategy, leadership, and digital transformation. He specialises in helping organisations harness Artificial Intelligence as an Intelligent Assistant (IA) to enhance productivity, unlock innovation, and drive sustainable business growth.
As a seasoned trainer, Melvyn has delivered impactful programmes to many participants across 118 organisations in 18 countries. His engaging, hands-on training style focuses on practical application, enabling participants to immediately integrate AI tools into their daily workflows and decision-making processes.
Melvyn is the creator of the proprietary STILL Framework (Strengths, Tools, Integration, Leverage, and Legacy), which guides organisations in adopting AI in a structured, ethical, and results-driven manner. His approach ensures that AI implementation is not only technically effective but also aligned with business strategy and long-term organisational goals.
He has worked with a wide range of leading organisations across industries such as banking, retail, education, marketing, and human resources. His clients include Brother International, DBS Bank, Mitsubishi Heavy Industries, Sartorius, Yale-NUS College, and Pavilion Kuala Lumpur, where he has supported initiatives in AI-driven marketing, operational efficiency, and workforce transformation.
Melvyn began his career as a research scholar at Nanyang Technological University and later served as a Senior Research Officer at the Productivity and Standards Board, building a strong foundation in research, analysis, and strategic thinking. He subsequently founded multiple ventures in consulting, media, and AI.
Melvyn is an ACTA-certified trainer, reflecting his commitment to delivering high-quality adult education. His programmes are known for being practical, engaging, and immediately applicable, equipping professionals with the confidence and skills to thrive in an AI-driven workplace.
