G|PTP
Generative Python Text Prompting
The bridge from Python to applied AI and machine learning.
A specialist programme that links Python with applied generative AI. Use Python with current language models, including ChatGPT, GPT (latest models) and other APIs, to build prompt-driven tools, automate workflows and create interactive applications.
From £39 a monthSelf-paced study with slides and audio, all six courses included. Choose £39 a month, or £399 a year (save 15%) with the exams and the RTF|S book. Certificate valid for life.Or learn live: instructor-led with Dimitrios from £995 per student for this course, five days. Passports for three or six courses save up to 20%.Included in every plan, with new courses added as they launch.
- 5days
- 55+hours of study
- 40hands-on labs
- Lifecertificate validity
Outcomes
What you will take away.
Who it is for: Developers and AI practitioners.
- Use Python to control and apply language models in real workflows.
- Design prompts, from basic to advanced.
- Build, deploy and optimise GPT-powered applications.
- Build interactive tools such as text generators, stories and games.
- Move on to applied AI and machine learning.
Modules
11 modules.
Tap a module to see what is inside.
01Introduction to OpenAI & GPT
What OpenAI, GPT (latest models) and ChatGPT are, how they work, how they differ and what they can do.
- OpenAI overview
- GPT (latest models) architecture
- How GPT works
- ChatGPT and its features
02Python & Libraries Setup
Set up Python for AI work, connect to the OpenAI API and build your first chatbot.
- Python for AI
- AI libraries
- IDE configuration
- API setup
- First chatbot
03GPT (latest models) Text Generation
Generate text with a chosen style, genre and purpose, then train, fine-tune and optimise GPT models.
- Text generation overview
- Style and genre
- Training and fine-tuning
- Examples
- Optimisation strategies
- Working with GPT (latest models)
04Prompt Engineering
Prompt design from basic to advanced, for GPT models and ChatGPT, including optimisation and combining models.
- Prompt engineering in GPT and ChatGPT
- Advanced techniques
- Optimisation
- Combining models
05Building Custom Language Models
The GPT training process, building custom models and optimising training datasets.
- Model architecture
- Training process
- Custom model training
- Dataset selection and optimisation
06Ethics with GPT (latest models)
Ethical concerns, potential biases and responsible AI application development.
- Ethical concerns
- Biases
- Ethical implications
- Addressing concerns
07Future of AI
Current and emerging trends, future applications and staying relevant as AI and NLP change.
- Current trends
- Emerging research
- Future applications
- Staying relevant
- The AI and NLP landscape
08Deploying GPT (latest models) in Production
Deployment options, web and API integration, performance optimisation and scalability planning.
- Deployment options
- Web and API models
- Performance
- Scalability
09Using GPT (latest models) for Data Analysis
Use language models for natural language data analysis and optimise GPT for data workflows.
- Natural language data analysis
- Selecting analysis tasks
- Optimising GPT for data
10Creating Interactive GPT Applications
Build interactive Python tools such as text generators, interactive stories, games and user-facing apps.
- Interactive text generation
- Interactive stories
- Interactive games
- Designing engaging apps
11NLP, ChatGPT & GPT (latest models)
An introduction to NLP, combining NLP techniques with Python, and how GPT (latest models) advances the field.
- What NLP is
- NLP characteristics
- NLP with Python
- Combining NLP techniques
- ChatGPT and GPT (latest models) features
Course details
The details.
- Length5 days
- Study time55+ hours
- Labs40
- Modules11 modules
- CertificateValid for life. Digital certificate and badge, with a private verification link sent to each student
- Before itC|PP (recommended)
- FormatOnline, self-paced or instructor-led, or on site with an instructor.
Where next.
Ready to start?
Questions about G|PTP? Ask us.