AI is changing the way software gets made — not by replacing developers, but by working beside them, line by line.
In these instructor-led courses, participants learn to code with AI copilots, auto-generate tests, flag bugs before they break production, and turn plain English into working code.
Online live training is delivered via interactive remote desktop, while onsite sessions in Doha pair developers with hands-on labs inside real IDEs and version-controlled projects.
Onsite courses can be hosted in your own engineering space in Doha, or held at a NobleProg training center designed for collaborative, tool-driven learning.
Also known as AI-Assisted Programming, AI-Integrated Development, AI-Augmented Software Development, AI-Enhanced Coding, or Intelligent Software Development, this training empowers teams to build faster — with confidence and clarity.
NobleProg – Your Local Training Provider
Movenpick Hotel West Bay Doha
Diplomatic St., Doha, qatar
With airport transfers in our shuttle or limousine service, the Mövenpick Hotel West Bay Doha ensures seamless transportation. The following charges apply:
Limousine:
Pick-up charge: QR 100
Drop-off charge: QR 80
Round-trip transfer: QR 165
From the airport exit, head south and take a sharp right. Turn left toward Ras Abu Abboud St. going to Al Corniche Road. Continue straight and stay on Al Corniche Road; passing Al Dafna signal, make a U-turn at the next traffic signal. Continue straight and the hotel will be on your right hand side. The distance from the airport to the hotel is 21.2 km
Al Najada Doha Hotel
Barahat Al Jufairi Street, Al Najada, Doha, Qatar
The Al Najada Doha Hotel by Tivoli is a new and exciting architectural feat, boasting one-of-a-kind surroundings and a sumptuous modern design. Located in the heart of central Souq Al Najada, next to the historic marketplace Souq Waqif, the property is a tranquil oasis in energetic Doha, overlooking the exotic surrounds of a large elegant piazza and the glistening Arabian Gulf.
The hotel features 151 rooms and suites, each designed as a thoughtful Arabian sanctuary with the utmost satisfaction and indulgence in mind. Facilities combine true comforts, innovative amenities and enhanced privacy, meeting the desires of business guests, families and leisure travelers. Enjoy privileged views from the piazza terrace or gazing down from your own private balcony. Relax with adventure, exploration and relaxation at your fingertips in one of the most opulent hotels in Doha, Qatar. The hotel is located within walking distance of Souq Waqif Metro station, making it easy for you to get to your destination on time.
Overlooking a scenic urban piazza, features modern architectural details inspired by classic Qatari design. Plan out your Doha meetings ahead and take advantage of the perfect central location and a full range of exclusive corporate and leisure Tivoli experiences, including a business center, fitness center, outdoor swimming pool and curated travel itineraries by our Experiences Team.
the driving distance between Doha Airport (DOH) to Al Najada Doha Hotel by Tivoli is 13 km. It takes approximately 12 min to drive from Doha Airport (DOH) to Al Najada Doha Hotel by Tivoli.
Mondrian Doha
West Bay Lagoon, Mondrian Doha, Katar, Doha, Qatar
Mondrian’s transatlantic journey to Qatar’s Doha marked a new chapter in the evolution of the iconic brand. Located in a bustling entertainment and shopping district, Mondrian lights up the stellar Middle Eastern city with a vision of contemporary style and sophistication unlike any other. At Mondrian Doha, we have venues to suit every taste. Our Meeting Rooms provide over 50 square meters of versatile event space for up to 300 guests. Moonstone Ball room boasts 186 square meters of space, custom designed crystal chandelier installations, 24K gold elevators, and bespoke furniture. Rise is an elegant rooftop playground perched on the 27th floor of the Mondrian Doha that is also available for exclusive social events and special occasions. Experience underwater tranquillity and specialised treatments at ESPA’s Female and Male Spas and enjoy state-of-the-art equipment at the Fitness center. The driving distance between Doha Airport (DOH) to Mondrian Doha is 24 km. It takes approximately 21 min to drive from Doha Airport (DOH) to Mondrian Doha.
Sheraton Grand Doha Resort & Convention Hotel
Al Corniche, Al Corniche Street, Doha, Qatar
Come together with everything you need to escape and unwind at Sheraton Grand Doha. Take in the stunning views and the gorgeous sunsets — either from our beach resort or from your room balcony. Connect with your family and friends and relax in the comfort of our luxurious rooms and suites. Make the most of your time in the city while spending some quality time at the beach or at the outdoor pool and Jacuzzi. Get motivated to stay fit in our 24-hour fitness center and unwind in our lush garden. Immerse in art and history at the Museum of Islamic Art and National Museum of Qatar, take a stroll down Doha Corniche or The Pearl, or find trinkets to take home at Souq Waqif. Enjoy tastes that inspire in our 7 restaurants, bars and lounges. For large meetings, intimate gatherings and everything in between, allow us to bring your group together. Take advantage of our 25 flexible, fluid event spaces, perfect for purposeful gatherings. Our spaces are designed to bring people together.
Collaboration happens here. At Sheraton Grand Doha Resort & Convention Hotel, our events and services bring people together for community and productivity. We are an award-winning conference hotel, known for hosting major regional conferences.
For large business meetings, intimate get-togethers and everything in between, take advantage of our flexible, fluid spaces perfect for purposeful gatherings. We offer 25 customizable convention spaces comprising 10,300 square meters of total meeting space. Our largest venue, Al Dafna, easily accommodates up to 3,000 guests in a theater setting. Use our modern business center to prepare for your conference or trade show and take advantage of our fast and free Wi-Fi to stream a video during your presentation. Be your most productive self with us.
Servcorp Home
Level 21, Doha Tower, West Bay Street, Doha, Qatar
All meeting rooms and boardrooms are designed to the highest standards of interior styling, equipped with the finest leather, marble and original artwork. The latest AV and conferencing equipment, plus reliability of lightning-speed Internet complete the refined luxury available to you.
We provide: High speed and secure internet with 99.99% uptime, including in-house IT support team, projector, flip charts everything with the best quality.
About Location: Burj Doha, also known as Doha Tower, is Servcorp's third location in Qatar and is centrally located on the Corniche road in the diverse business district of West Bay. An extraordinary structure of concrete and steel, this tower was designed by the famous French architect Jean Nouvel and proudly stands as the 65th tallest building in the entire Middle East. This unique skyscraper has no central core, leaving more internal space available to its occupants. The tower is wrapped in a metal mesh facade inspired by the traditional Islamic ‘mashrabiya' design to shade the building from high temperatures.
AIRPORT:
20 minutes by car from Doha International Airport.
Kempinsky Hotel
West Bay, Doha, Qatar, 29922
Marsa Malaz Kempinski is located at The Pearl-Qatar, the recognizable man-made island off the coast of Doha.
The hotel is just a step away from numerous entertainment and dining options at Porto Arabia and Medina Centrale districts of The Pearl, and a 10-minute drive from the central business district of West Bay.
The new Hamad International Airport is 29km/30 mins away. Nearby landmarks include the Katara Cultural Village, a cultural hub showcasing art exhibitions as well as offering other cultural experiences for the residents in Qatar, the Doha Golf Club, a superior golf club in Qatar, and Lagoona Mall, the premium shopping experience in West Bay lagoon.
Airport Assistance
It is always a pleasure to assist you from the moment you arrive at Hamad International Airport. Please contact our Concierge at +974 40355555 or concierge.marsamalaz@kempinski.com and one of our representatives will be expecting you upon your exit in the Arrivals Hall. Our airport ambassador will be more than happy to assist you with inquiries, reservations, limousine bookings and information about Doha.
The hotel can assist you with your Al Maha Services reservations prior to your arrival or departure at Hamad International Airport.
Directions
From Hamad International Airport
Leaving the airport please follow the signs for Doha/West Bay. Continue along the expressway and the Corniche and at the end of the street, turn left to Omar Al Mukhtar St. Follow the signs to The Pearl and enter the island. Follow the signs to Qanat Quartier. At the first traffic light, make a u-turn followed by a right turn at the first street towards Qanat Quartier. At the roundabout, take the exit that drives you to the bridge of Marsa Malaz island.
Welcome to Marsa Malaz Kempinski, The Pearl - Doha.
GitHub Copilot is an AI-powered code completion tool that helps accelerate development while improving quality and productivity. Combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can leverage AI to optimize resource allocation, streamline workflows, and enhance decision-making.
This instructor-led, live training (online or onsite) is aimed at advanced-level managers who wish to deepen their knowledge of GitHub Copilot while also exploring practical AI applications in corporate environments, with examples relevant to large-scale projects and industries such as oil and gas.
By the end of this training, participants will be able to:
Apply advanced Copilot functionalities in large-scale corporate projects.
Integrate Copilot into multidisciplinary workflows for maximum efficiency.
Leverage AI tools to optimize project management, infrastructure, and software acquisition.
Implement AI-based strategies to improve planning, estimation, and time optimization.
Recognize practical AI applications in industry-specific scenarios such as oil and gas.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises and case studies.
Live-lab demonstrations of AI tools and Copilot workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Artificial Intelligence (AI) is a set of technologies that simulate human intelligence in machines and applications, enabling smarter and more adaptive software.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using real-world tools and platforms.
By the end of this training, participants will be able to:
Understand core AI and machine learning concepts.
Develop AI features using Python and popular libraries.
Apply AI techniques to real software development projects.
Evaluate models and deploy intelligent services.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
GitHub Copilot is an AI-powered coding assistant that helps automate development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.
By the end of this training, participants will be able to:
Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
Leverage AI code completion in YAML files and GitHub Actions.
Accelerate testing, deployment, and automation workflows.
Apply Copilot responsibly with an understanding of AI limitations and best practices.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Huawei Ascend is a family of AI processors designed for high-performance inference and training.
This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimize neural network models using Huawei’s Ascend platform and the CANN toolkit.
By the end of this training, participants will be able to:
Set up and configure the CANN development environment.
Develop AI applications using MindSpore and CloudMatrix workflows.
Optimize performance on Ascend NPUs using custom operators and tiling.
Deploy models to edge or cloud environments.
Format of the Course
Interactive lecture and discussion.
Hands-on use of Huawei Ascend and CANN toolkit in sample applications.
Guided exercises focused on model building, training, and deployment.
Course Customization Options
To request a customized training for this course based on your infrastructure or datasets, please contact us to arrange.
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.
By the end of this training, participants will be able to:
Understand the role of AI and machine learning in automating software development tasks.
Implement AI tools to generate code, tests, and documentation.
Apply AI techniques for code optimization, quality assurance, and debugging.
Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
Address ethical considerations and challenges in AI-augmented software engineering.
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level to advanced-level participants who wish to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.
By the end of this training, participants will be able to:
Set up GitHub Copilot for team environments.
Utilize Copilot to enhance collaborative coding practices.
Optimize team workflows using Copilot’s features.
Manage Copilot’s integration in multi-developer projects.
Maintain consistent code quality and standards across teams.
Leverage advanced Copilot features for team-specific needs.
Combine Copilot with other collaborative tools for efficiency.
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review.
By the end of this training, participants will be able to:
Set up GitHub Copilot for debugging and code review purposes.
Use Copilot to identify and resolve bugs efficiently.
Enhance code quality with AI-assisted suggestions.
Streamline code review processes with Copilot's capabilities.
Collaborate effectively using Copilot in team environments.
By the end of this training, participants will be able to:
Prompt Engineering for Software Development is a hands-on course designed to teach developers how to craft effective prompts that optimize the usefulness, precision, and safety of AI-generated outputs in the context of software engineering tasks.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to integrate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools.
Create precise prompts for code generation, review, and optimization tasks.
Use prompt chaining and refinement to improve AI responses in iterative workflows.
Generate structured outputs such as test cases, SQL queries, and documentation from minimal input.
Mitigate hallucination and improve control over LLM behavior in technical environments.
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.
By the end of this training, participants will be able to:
Set up GitHub Copilot for front-end development projects.
Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
Improve UI/UX design processes using AI-generated code suggestions.
Enhance front-end workflows with practical Copilot integration strategies.
Troubleshoot and debug front-end code using Copilot assistance.
Responsible AI in Software Development is a foundational course that addresses the ethical, legal, and governance considerations when using AI tools in the software development process. The course emphasizes transparency, fairness, intellectual property concerns, and safe deployment of AI-generated code.
This instructor-led, live training (online or onsite) is aimed at beginner-level technical and non-technical professionals who wish to ensure ethical, compliant, and risk-aware use of AI in their software projects.
By the end of this training, participants will be able to:
Identify and mitigate ethical and legal risks associated with AI-assisted development.
Understand bias in AI-generated code and how to evaluate fairness.
Manage software licenses and attribution related to AI-generated content.
Establish governance, policy, and compliance frameworks for AI use in development teams.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI for Software Requirements and User Story Generation is a practical course focused on using generative AI to transform stakeholder input into structured requirements, epics, user stories, and acceptance criteria suitable for Agile development workflows.
This instructor-led, live training (online or onsite) is aimed at beginner-level product and project professionals who wish to use tools like ChatGPT or Claude to improve clarity, speed, and traceability in requirement gathering and refinement.
By the end of this training, participants will be able to:
Use AI prompts to gather and refine business requirements.
Convert feature requests into well-structured user stories and epics.
Generate acceptance criteria, edge cases, and definitions of done with AI assistance.
Collaborate with development teams using AI-structured documentation.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Cursor is an AI-powered development environment that enhances productivity and reliability across data and machine learning workflows through intelligent code generation, context-aware suggestions, and streamlined documentation.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and ML professionals who wish to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.
After completing this training, participants will be able to:
Use Cursor to accelerate notebook development and code exploration.
Generate, refactor, and document ETL and feature engineering pipelines.
Leverage AI-assisted code for model training, tuning, and evaluation.
Enhance reproducibility, collaboration, and operational consistency in ML workflows.
Format of the Course
Interactive lectures and demonstrations.
Practical, hands-on exercises in live coding environments.
Case studies integrating Cursor with ML pipelines and model ops tools.
Course Customization Options
This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level to intermediate-level Python developers who wish to leverage GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.
By the end of this training, participants will be able to:
Set up and configure GitHub Copilot for Python development.
Leverage Copilot to write efficient Python code.
Debug Python applications using AI-generated suggestions.
Automate repetitive coding tasks and improve workflow efficiency.
Utilize Copilot for implementing machine learning projects in Python.
Graphite is a developer productivity and code review platform that optimizes pull request workflows, improves team collaboration, and integrates with tools such as GitHub and AI-based code review assistants.
This instructor-led, live training (online or onsite) is aimed at intermediate-level software engineering teams who wish to streamline their development workflows, enhance review efficiency, and implement Graphite effectively within enterprise DevOps pipelines.
By the end of this training, participants will be able to:
Deploy and configure Graphite for enterprise-scale development environments.
Automate pull request management and improve code review throughput.
Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
Measure developer productivity using Graphite analytics and dashboards.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Cursor is an advanced AI-powered development environment that allows engineers to extend, fine-tune, and customize its coding intelligence for specialized use cases and enterprise workflows.
This instructor-led, live training (online or onsite) is aimed at advanced-level developers and AI engineers who wish to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.
By the conclusion of this training, participants will be able to:
Design and test advanced prompt templates for precise AI behavior.
Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
Develop fine-tuned or domain-adapted AI models for specialized tasks.
Build and deploy custom tools or adapters that extend Cursor’s functionality securely.
Format of the Course
Technical presentations and guided demonstrations.
Hands-on development and prompt optimization labs.
Practical projects integrating Cursor with real-world enterprise systems.
Course Customization Options
This course can be customized to align with specific internal architectures, AI frameworks, or security compliance requirements.
This instructor-led, live training in Doha (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.
By the end of this training, participants will be able to:
Customize GitHub Copilot for specific project needs and team workflows.
Leverage advanced features of Copilot for complex coding tasks.
Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
Optimize team collaboration using AI-powered tools.
Manage and troubleshoot Copilot settings and permissions effectively.
Generative AI for Front-End Development explores how large language models and AI-powered tools can accelerate front-end development through prompt-based code generation, layout prototyping, and UI optimization.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level front-end professionals who wish to use generative AI to build and iterate user interfaces more quickly and creatively.
By the end of this training, participants will be able to:
Use AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
Create and refine UI components and layouts using generative models.
Prototype responsive web designs rapidly without writing all code from scratch.
Optimize front-end code using AI suggestions and automation workflows.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Doha (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.
By the end of this training, participants will be able to:
Understand the basics of AI-powered code generation.
Install and configure Tabnine in their development environment.
Utilize Tabnine for efficient code completion and error correction.
Create and train custom AI models with Tabnine for specialized tasks.
Vibe coding is an emerging paradigm where developers collaborate with large language models to generate, refine, and optimize code through natural language interactions.
This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and technical leads who wish to master the use of AI coding assistants and open-source LLMs to improve productivity, creativity, and workflow automation.
By the end of this training, participants will be able to:
Understand the principles and philosophy of vibe coding and its impact on software development.
Implement LLM-assisted coding environments using tools such as Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot.
Design and execute prompt engineering strategies for effective AI collaboration.
Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI-Augmented Test Generation and Quality Engineering explores how artificial intelligence tools and large language models (LLMs) can improve test coverage, speed up test creation, and enhance quality assurance processes.
This instructor-led, live training (online or onsite) is aimed at intermediate-level QA professionals who wish to automate and enhance their testing strategies using AI-driven tools and practices.
By the end of this training, participants will be able to:
Generate unit, integration, and UI tests using AI tools and prompts.
Use LLMs for exploratory testing, edge-case discovery, and regression analysis.
Cluster and prioritize test failures and anomalies using AI-assisted triage.
Integrate AI-based testing into CI/CD pipelines to improve release confidence.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Cursor is an AI-powered development environment that enhances team collaboration, automates code reviews, and integrates seamlessly into modern CI/CD workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate-level technical professionals who wish to integrate Cursor into their team environments to improve collaboration, streamline reviews, and maintain quality across automated pipelines.
Upon completing this training, participants will be able to:
Set up and manage team environments in Cursor for collaborative development.
Leverage AI tools for automated code reviews, pull request generation, and merge validation.
Implement code governance, review policies, and security guardrails using Cursor’s capabilities.
Integrate Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.
Format of the Course
Instructor-led presentations and team-based discussions.
Hands-on labs using real-world team collaboration scenarios.
Live integration exercises with CI/CD and version control tools.
Course Customization Options
The course can be adapted to specific CI/CD platforms, repository tools, or enterprise security requirements.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.
By the end of this training, participants will be able to:
Understand the capabilities and limitations of DeepSeek Coder.
Generate high-quality code snippets using AI assistance.
Utilize DeepSeek Coder for debugging and optimizing code.
Automate repetitive programming tasks using AI tools.
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding use cases, improve productivity, and integrate Copilot into their development workflows.
By the end of this training, participants will be able to:
Optimize their use of GitHub Copilot for advanced coding tasks.
Write more efficient, error-free, and maintainable code with Copilot suggestions.
Integrate GitHub Copilot into their preferred IDEs and workflows.
Utilize Copilot for debugging and code refactoring.
Understand the limitations and ethical considerations of using AI-powered coding tools.
This instructor-led, live training in Doha (online or onsite) is aimed at advanced-level developers and team leads who wish to master advanced features of Tabnine.
By the end of this training, participants will be able to:
Implement Tabnine in complex software projects.
Customize and train Tabnine's AI models for specific use cases.
Integrate Tabnine into team workflows and development pipelines.
Enhance code quality and accelerate development cycles using Tabnine's insights.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.
By the end of this training, participants will be able to:
Understand the role and capabilities of AI coding assistants in software development.
Utilize various AI coding assistant tools to automate routine coding tasks.
Integrate AI coding assistants into their software development lifecycle.
Enhance their productivity and focus on more complex and creative programming tasks.
Address ethical considerations and responsible use of AI in software development.
Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.
By the end of this training, participants will be able to:
Set up and configure Devstral for coding agent development.
Design agentic workflows for codebase exploration and modification.
Integrate coding agents with developer tools and APIs.
Implement best practices for secure and efficient agent deployment.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Cursor is an AI-powered code editor designed to enhance developer productivity through intelligent code completions, contextual edits, and adaptive assistance.
This instructor-led, live training (online or onsite) is aimed at beginner-level developers and engineering teams who wish to streamline their coding workflow and safely leverage AI suggestions for improved efficiency.
Upon completion of this training, participants will be able to:
Install and configure Cursor for optimal use in development projects.
Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
Evaluate, accept, or modify AI-generated code suggestions effectively and securely.
Adopt best practices for team onboarding, collaboration, and version control integration.
Format of the Course
Interactive lecture and discussion.
Hands-on demonstrations and guided exercises.
Real-world coding challenges and lab practice using Cursor.
Course Customization Options
This course can be tailored to specific programming languages or frameworks used by your team.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level developers who wish to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.
By the end of this training, participants will be able to:
Understand what GitHub Copilot is and how it works.
Set up GitHub Copilot with a supported code editor.
Use GitHub Copilot to write, refactor, and debug code faster.
Leverage Copilot to explore coding techniques and solutions.
Apply best practices for integrating GitHub Copilot into daily workflows.
LLMs for Code Understanding, Refactoring, and Documentation is a technical course focused on applying large language models (LLMs) to improve code quality, reduce technical debt, and automate documentation tasks across software teams.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level software professionals who wish to use LLMs such as GPT to analyze, refactor, and document complex or legacy codebases more effectively.
By the end of this training, participants will be able to:
Use LLMs to explain code, dependencies, and logic in unfamiliar repositories.
Identify and refactor anti-patterns and improve code readability.
Automatically generate and maintain in-line comments, README files, and API documentation.
Integrate LLM-driven insights into existing CI/CD and review workflows.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.
By the end of this training, participants will be able to:
Install and configure Tabnine in their Python development environment.
Use Tabnine's autocomplete features to write Python code more efficiently.
Customize Tabnine's behavior to fit their coding style and project needs.
Understand how Tabnine's AI model works specifically with Python code.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process, and the ethical considerations surrounding their use.
By the end of this training, participants will be able to:
Understand the purpose and capabilities of AI coding assistants.
Identify different AI coding assistant tools and their features.
Utilize AI coding assistants for basic coding tasks.
Address basic ethical considerations and responsible use of AI in development.
AI-Driven Software Development Lifecycle (SDLC) is a practical course that explores how artificial intelligence can enhance each phase of the software development process. From automating requirement analysis to intelligent test generation and deployment optimization, participants will learn how to integrate AI tools and techniques across the full lifecycle.
This instructor-led, live training (online or onsite) is aimed at intermediate-level software leaders who wish to modernize their SDLC with AI-assisted workflows and tools.
By the end of this training, participants will be able to:
Leverage AI for converting business input into structured requirements and user stories.
Use LLMs to improve code documentation, review, and refactoring.
Automate test case generation and coverage analysis using AI tools.
Apply AI-driven monitoring and deployment decision-making in CI/CD pipelines.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers who wish to boost productivity and code quality using AI-assisted coding with Cursor.
By the end of this training, participants will be able to:
Install and configure Cursor for AI-assisted software development.
Integrate Cursor with Git repositories and development workflows.
Use natural language to generate, debug, and optimize code.
Leverage AI capabilities for refactoring, documentation, and testing.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to learn how to utilize the capabilities of GitHub Copilot effectively within modern development workflows.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.
By the end of this training, participants will be able to:
Install and set up Tabnine in their preferred IDE.
Utilize Tabnine's autocomplete features to speed up coding.
Customize Tabnine's settings for optimal assistance.
Understand how Tabnine's AI learns from their code to provide better suggestions.
This immersive, one-day workshop that empowers software teams to integrate cutting-edge AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience blends technical skill-building, creativity, and collaboration.
Participants will tackle real-world challenges across all stages of the SDLC — from requirement gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools like ChatGPT, GitHub Copilot, and ML-based log analysis systems.
Designed for modern development environments, this workshop fosters AI fluency, team synergy, and a deep understanding of how to augment software delivery pipelines with generative AI and machine learning capabilities.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level professionals who wish to use Replit AI to build, test, and deploy simple applications faster.
By the end of this training, participants will be able to: create an app from a prompt, improve code with AI assistance, manage configuration securely, and deploy a working application.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level product teams, developers, and technical business users who wish to use Lovable to build production-ready apps faster with better structure, quality, and deployment practices.
By the end of this training, participants will be able to: plan and generate working apps, improve user flows and data handling, add key production features, and prepare apps for deployment and team use.
The objective of this instructor-led, live training is to empower professionals with no coding or technical background to confidently use Claude Code — Anthropic’s AI-powered coding and automation tool — to build real projects, automate workflows, and connect their everyday tools using plain English.
Participants will use the Claude app (claude.ai and Claude Desktop) to complete hands-on tasks from their very first interaction to connecting Claude to external services through MCP (Model Context Protocol) connectors. The 7-hour format adds a dedicated Live Build Session where the group collaboratively builds workflows using real problems volunteered by participants — a high-energy segment that teaches prompt judgment in a way solo practice cannot. By the end of the course, every participant will have built a working project and connected Claude to at least one external service.
Format of the Course
Interactive lecture and live demonstration
Guided hands-on exercises after every concept (participants follow along in real time)
Collaborative Live Build Session with real participant-submitted workflow problems
The objective of this instructor-led, live training is to empower professionals with no coding or technical background to confidently use Claude Code — Anthropic’s AI-powered coding and automation tool — to build real projects, automate workflows, and connect their everyday tools using plain English.
Participants will use the Claude app (claude.ai and Claude Desktop) to complete hands-on tasks from their very first interaction to connecting Claude to external services through MCP (Model Context Protocol) connectors. By the end of the course, every participant will have built a working project and connected Claude to at least one external service.
Format of the Course
Interactive lecture and live demonstration
Guided hands-on exercises after every concept (participants follow along in real time)
Cumulative capstone project built throughout the session
This instructor-led, live training in Doha (online or onsite) is aimed at intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity with AI-assisted coding.
By the end of this training, participants will be able to: install and configure Claude Code, navigate, generate and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.
This instructor-led, live training in Doha (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to build features autonomously, run tests, and manage larger coding tasks.
By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.
This instructor-led, live training in Doha (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level professionals who wish to use Bolt.new to rapidly create and improve web app prototypes.
By the end of this training, participants will be able to: create prototypes from prompts, refine features and interface flow, test and troubleshoot app behavior, and publish prototypes for review.
This instructor-led, live training in Doha (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.
By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.
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