Duration : 2 Days
7643 participants
Looking for Corporate TrainingIntroduction to Generative AI and Large Language Models (LLMs)
Generative AI for Technical Managers (GAITM) Certification Training
Looking at the bright future of Generative AI or GenAI, we have brought you a 2-day hands-on Generative AI for Technical Managers (GAITM) certification training. Our experts will provide you with deep insight into the principles, practical implementation, and management of Generative AI models.&n
Generative AI for Technical Managers (GAITM) Certification Training
Identify the role of AI in simplifying business operations.
Familiarise with Generative AI techniques and their applications.
Prepare for a progressive IT journey.
Course Overview
This short-term GAITM course is for technical managers who specialise in Generative AI. It delivers in-depth knowledge of Generative AI's key concepts and models. You will also learn how to integrate Generative AI and deep learning applications to create attractive images and videos. Our expert will thoroughly discuss large language models (LLMs), including their importance, applications, and architecture.
Prompt engineering is a crucial component of GenAI, and we have dedicated a comprehensive module to this topic. In this module, you will learn about the importance of prompt engineering in modern organisations and the techniques to apply advanced prompt engineering. In addition, the course covers Generative AI product development, project lifecycle, data protection, deployment, and responsible AI considerations.
We complete this program by assigning you a project that allows you to apply the technology practically. This hands-on experience helps you overcome the technical challenges of Generative AI.
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Course Objectives
By joining this GAITM course, you will:
- Understand the fundamentals of Generative AI, such as Generative models, discriminative models, and use cases of GenAI applications.
- Learn various types of generative models, their importance, algorithms, and how to get the best output.
- Examine the generate technique practically with the help of large language models.
- Evaluate the architecture of Large Language Models, such as the self-attention mechanism.
- Understand how Generative AI impacts revenue models, company goals, and competitive market.
- Analyse the advantages of Generative AI for an organisation to guide non-technical stakeholders in using this technology effectively.
- Develop the skills to manage cross-functional teams of Generative AI projects by maintaining collaboration and alignment.
- Assess ethical considerations and data privacy challenges associated with Generative AI to deal with these risks actively.
- Understand the limitations of Generative AI in maintaining uniqueness and avoiding misuse.
- Develop an AI success metric to measure its success and bring continuous improvement.
Audience
This course is specifically designed for IT engineers who want to leverage the benefits of Generative AI. We recommend this program to:
- Technical Managers and Leaders
- Technology Executives
- Data Scientists and Engineers
- Educators and Trainers
- Tech Enthusiasts
Eligibility Criteria
Admission to this course has prerequisites. You must have:
- Basic understanding of artificial intelligence concepts and technologies.
- Basic knowledge of programming fundamentals
- Basic coding experience.
- Worked in a technical or managerial role.
(Feel free to contact us if you have any further questions about eligibility.)
Course Outline
Module 1: Generative AI Fundamentals
- What is Generative AI
- Key Concepts in Generative AI
- Generative Models and Discriminative Models
- ypes of Generative Models (e.g., Variational Autoencoders, Generative Adversarial Networks)
- raining and Inference in Generative Models
- Discuss a few Industry use cases of Generative AI Applications
- Applications of Generative AI and Deep Learning
- Image and Video Generation
- Music and Audio Generation
- Text Generation
- ab: Hands-on lab on Text Generation using Large Language models
Module 2: Introduction to Large Language Models (LLMs)
- What are Large Language Models?
- Importance and Applications of Large Language Models
- Overview of LLMs in the Context of Natural Language Processing
- Understanding the Architecture of Large Language Models
- Transformer Architecture
- Self-Attention Mechanism
- Pre-training and Fine-tuning of LLMs
- Training and Data Requirements for Large Language Models
- Training Corpus and Data Collection
- Pre-processing and Tokenisation
- Training Process and Computational Resources
Module 3: Prompt Engineering
- What is Prompt Engineering?
- Importance of Prompt Engineering in Modern Organisations
- Role of Managers in Prompt Engineering and Management
- Understanding the Prompt Generation Process
- Design and optimise prompts
- Apply advanced prompt engineering techniques
- Review and apply the latest and most advanced prompt engineering techniques.
- Understanding of Multi-modal LLM and different methods in Multi-modal LLMs
- Tree-of-thought and chain-of-thought methods
Module 4: Collaborating with Analysts, Engineers, and Scientists
- Generative AI Product Development
- Building AI First Products
- Understanding the complexity and challenges
- Design Exploration and Ideation
- Simulation and Testing
- Generative AI Project Lifecycle
- Evaluation metrics for generative AI models
- Qualitative and quantitative assessment of generative AI outputs
- User feedback and engagement analysis
- Continual improvement and iteration techniques
- Data Protection, Privacy and Security
- Things to consider for protecting Data
- Data Lifecycle Management
- Compliances & Regulations
- Aspects to consider for Data Security
- Data Privacy Considerations
- Generative AI Deployment
- Model deployment strategies: on-premises, cloud-based, and edge deployment
- Integration with existing systems and workflows
- Testing and performance optimisation
- Monitoring and maintenance of generative AI models
- Responsible AI Considerations
- Biases
- Ethical implications of generative AI
- Fairness, transparency, and accountability in AI projects
- Regulatory frameworks and guidelines for generative AI
- Building responsible and ethical generative AI systems
- Understanding the roles and responsibilities of analysts, engineers, and scientists in generative AI projects
- Effective communication and collaboration strategies
- Project scoping and requirement gathering
- Overcoming challenges and mitigating risks in project implementation
About The Certification
Once the course ends, you will receive the Generative AI for Technical Managers certification. This certificate will strengthen your resume and make you eligible for a technical profile in AI to work with analysts, engineers, or data scientists.
Choose Your Preferred Mode
Online Training
- Explore a topic in depth with our specialised courses.
- Offering a cooperative learning environment to provide online training satisfaction.
- Offering group training to connect with like-minded professionals and grow your network.
- Interactive interface to enhance your virtual training experience.
Corporate Training
- Work closely with you to customise training programs to deliver satisfaction.
- Motivating learners to develop an interest in learning and adopting change.
- Various specialised services for corporations of all sizes and fields.
- Affordable learning solutions to meet the skills gap.
FAQ’s
What sets Vinsys’ Generative AI for Technical Managers course apart?
At Vinsys, you will get:
- Instructor-led and self-paced training assistance
- Updated and focused course modules
- Cloud lab access to practice
- Projects to clear your doubts and instil confidence
- Comprehensive course materials
- Regular assistance from certified experts
What is the duration of this course?
This is a short-term program. We cover the entire modules in 2 days for instructor-led training.
Is this course suitable for beginners?
This course is ideal for you if you are familiar with AI concepts and models and have work experience in a technical field.
Do you provide course materials?
After your admission, you can access course materials online. Our comprehensive course package includes self-designed notes, essential links, booklets, articles, and projects.
Is this course open to corporations?
Yes, businesses can consult us to discuss their requirements. Our expert panels will suggest a suitable course and can customise the course module. You will get special discounts. Get in touch with us to learn more.
How much does a GenAI technician earn?
The salary package varies from country to country. However, the course will significantly enhance your present income and job position. Work experience in this sector can earn you a handsome package and provide a promising career path.
What is the future of GenAI?
GenAI has started showing its impact in the global job market. It will lead to job displacement. GenAI experts are in demand these days and are expected to grow in the future.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
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Reviews
After working in the AI field for over a year, I am ready to look forward and build my strength in this technology. This Generative AI course will definitely help me boost my career.
Samarth AgarwalTechnology Executive
Skills in Chat GPT, DALL-E, and Midjourney are highly sought after in the evolving field of Generative AI. This course has equipped me with a deep understanding of these platforms.
Sangeeta PathakData Scientist
We are now proficient in handling content translation and chatbots. Thank you Vinsys for providing detailed knowledge of LLM.
Biju MenonProject Manager
We are delighted with Vinsys's cooperation and flexibility in offering classes! Our team has gained a comprehensive understanding of the technical aspects of prompt engineering, LLM, project lifecycle, and product development challenges using GenAI.
Ravi BorawalaData Base Enginner
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