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Microsoft

Generative AI and Prompt Engineering Course

4,599 Ratings

  • Generative AI & Prompt Engineering by IIT faculty and top industry experts
  • Gain proficiency in creating Generative AI chatbots and other Gen AI tools
  • 3 guaranteed interviews upon movement to the Intellipaat Placement Pool
  • Get your Generative AI & Prompt Engineering certification from Microsoft
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Gen AI & Prompt Engineering Course – Key Highlights

35+ live sessions across 5 months
100+ hrs of top self-paced videos
50+ hrs project work and exercises
Top IIT faculty & industry experts
1:1 session with industry mentors
Resume building & LinkedIn profile
24/7 support for query resolution
No-cost EMI option available now
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Generative AI and Prompt Engineering course Overview

What are the key objectives of this Generative AI and Prompt Engineering course?

  • Bridging the gap between AI and humans through seamless communication techniques
  • Mastering the principles of Generative AI prompting for professional grade AI outcomes
  • The art of “programming” in English to prompt Large Language Models (LLMs) into action
  • Creating perfect prompts that serve as conduits for user inputs enroute to Gen AI models
  • Leveraging the full potential of Gen AI to unlock new avenues of creativity and productivity
  • Course 1: Python refresher course to help you get up to speed with Python programming
  • Course 2: Introduction to Generative AI, key concepts, applications and ChatGPT functions
  • Course 3: Advanced Gen AI models, architecture and Generative Adversarial Networks (GAN)
  • Course 4: Building Large Language Models (LLMs), customization and fine-tuning for tasks
  • Course 5: Image generation with AI, Autoencoders, Diffusion models and Stable Diffusion
  • Course 6: Building your own Generative AI model with Prompt Engineering methodology
  • Course 7: Real-world case studies and projects that provide hands-on Gen AI experience
  • Understanding the importance and role of prompt engineering in training AI models
  • Prompt engineering best practices, top tools and techniques to write better prompts
  • Python programming and tooling needed to scale Generative AI into production stage
  • Tapping into the powerful capabilities of Large Language Models using prompt patterns
  • AI model nuances, troubleshooting prompt engineering and its real-world applications
  • Build a prompt library of inputs that application developers can use in most AI scenarios
  • Ever since ChatGPT burst onto the world stage, prompt engineering skills are in demand
  • Businesses of all kinds are relying on LLMs thus making prompt engineering a top talent
  • Gen AI Prompt Engineers can command lucrative salaries and things can only get better
  • It is stimulating to work on innovative Gen AI projects that have huge business implications
  • Be at the forefront of AI revolution using creative problem-solving skills for a coveted career
  • Artificial Intelligence job listings rose 42% compared to December 2022 – Wall Street Journal

Upon completion of this AI Prompt Engineer course your skills will be in high demand in an AI-driven world. Top tech companies like Google, Microsoft, Apple, Amazon and Facebook are going on a hiring overdrive to recruit the best AI Prompt Engineering professionals. According to recruitment firm TeamLease, over 22,000 new jobs in this domain have been created in just over six months. According to this same firm, certified AI Prompt Engineers can earn a salary of over ₹ 20 lakhs per year in India. And, that’s just the start. Organizations are looking for the right candidates with good proficiency in Computer Science, AI, Machine Learning and Natural Language Processing.

Here’s a list of the top Gen AI job roles and the average salaries in the United States:

Generative AI Job Roles Average Salaries
Machine Learning Engineer $110,000 – $160,000
Gen AI Data Scientist $100,000 – $150,000
AI Research Scientist $120,000 – $180,000
AI Product Manager $120,000 – $170,000
AI Ethics Specialist $90,000 – $140,000
Data Engineer $90,000 – $130,000
NLP Engineer $100,000 – $150,000
Computer Vision Engineer $100,000 – $150,000

Our AI Prompt Engineering training has been designed with extensive inputs from industry leaders and academic scholars. We help you master one of the most trending domains in Artificial Intelligence with this Prompt Engineering training. You will work on real-world ChatGPT case studies and NLP projects that are being deployed in top tech MNCs. As part of your Prompt Engineering course, you will develop the skills needed to communicate effectively with Generative AI models.

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45% Average Salary Hike

35 LPA Highest Salary

10000+ Career Transitions

500+ Hiring Partners

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*Past record is no guarantee of future job prospects

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What are the top job roles for Generative AI and Prompt Engineers?

Gen AI Prompt Engineer

Designs AI prompts to train Gen AI models. Works with developers and Data Scientists to test and improve the AI prompts.

AI Research Scientist

Advances the scope of Gen AI models. Researches new algorithms, improves architecture for seamless human-AI interface.

AI Product Manager

Oversees the development of Gen AI products. Works with engineering, design and marketing teams to fulfil product goals.

Machine Learning Engineer

Builds ML models that generate AI content. Works on the ML lifecycle from data prep to AI model training and deployment.

Gen AI Data Scientist

Extracts data from diverse sources to train Gen AI models. Ensures data diversity and robustness for improved AI output.

AI Ethics Specialist

Evaluates ethical aspects of Gen AI. Develops tools, frameworks and guidelines to ensure responsible Gen AI practices.

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Skills Covered under this Course

Generative AI

Prompt Engineering

ChatGPT

Explainable AI

Large Language Models

Generative AI Architectures

Generative AI Models

Machine Learning Algorithms

Model Training and Optimization

Ensemble Methods

Deep Learning

Natural Language Processing

Computer Vision

Reinforcement Learning

Generative AI for Businesses

Supervised and Unsupervised Learning

Model Evaluation and Validation

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Prompt Engineering Course Fees

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 35+ live sessions across 5 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

21 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

28 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

04 Jan 2025 08:00 PM - 11:00 PM
99,009 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Generative AI Course Curriculum

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Python Refresher

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  • Installation of Python and IDEs: Guidance on installing Python and setting up IDEs like PyCharm.
  • Jupyter and Colab Notebook Usage: Introduction to using Jupyter Notebooks and Google Colab for coding.
  • Understanding Variables and Data Types: Overview of Python variables and data types.
  • Control Flow with Loops and Conditional Statements: Instruction on using loops and conditionals.
  • Functions and OOP Concepts: Basics of defining functions and an introduction to OOP principles.
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  • Overview of Generative AI: Understanding the fundamental concepts and significance of generative AI.
  • Key Concepts and Applications: Exploration of key concepts and real-world applications.
  • Basics of Prompt Engineering: Introduction to techniques for interacting with generative AI models.
  • ChatGPT Functionality: Examination of how ChatGPT operates, including strengths and limitations.
  • Hands-on Skills Development: Practical exercises to develop skills in utilizing generative AI tools.
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  • Generative Models Introduction: Overview of different types of generative models and their architectures.
  • Variational Autoencoders (VAEs): Study of VAEs and their use for generating new data points.
  • Generative Adversarial Networks (GANs): Exploration of GANs, their structure, and applications.
  • Transformers and Attention Mechanisms: Introduction to transformer architecture and attention mechanisms.
  • Comparative Analysis of Models: Evaluation of strengths and weaknesses of various generative models.
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  • LangChain and Workflow Design: Introduction to LangChain for designing workflows with language models.
  • Advanced Prompt Engineering Techniques: Techniques for crafting effective prompts for language models.
  • LLM Application Development: Step-by-step guidance on developing applications using LLMs.
  • Retrieval-Augmented Generation (RAG): Understanding the RAG framework for enhancing language models.
  • LLM Fine-Tuning and Customization: Techniques for fine-tuning models for specific tasks.
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  • Understanding Autoencoders: Exploration of autoencoders in image generation and data compression.
  • Concept of Diffusers: Pretrained diffusion models for generating images
  • Stable Diffusion Overview: Introduction to Stable Diffusion for generating images from text.
  • Denoising: Concept of removing noise from a signal.
  • Practical Image Generation Projects: Hands-on projects applying image generation techniques.
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  • Governance Framework Overview: Introduction to governance frameworks for deploying generative AI.
  • Ethical Considerations: Discussion of ethical implications and challenges in generative AI.
  • Regulatory Compliance: Overview of existing regulations governing AI technologies.
  • Best Practices for Responsible Use: Identification of best practices for ethical use of generative AI.
  • Future Trends and Challenges: Exploration of future trends and challenges in generative AI governance.
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  • Formulating product design and workflow
  • Text Generation using pre-trained LLMs, Transformers, RLHF
  • LangChain Fundamentals
  • Usage of Recommendation Engines
  • Evaluation Metrics
  • Prompt Engineering
  • Creating Generative AI Applications using Gradio
  • Building and Sharing Recommended using Gradio
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  • Product Design and Workflow for the application
  • Attention Mechanism in Transformers
  • Langchain Usage for Complex Tasks
  • Medical Diagnosis and Prescription Summarization
  • Prompt Engineering and Text Generation for Medical Diagnosis
  • Deploying the Generative AI Application using the Cloud
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  • Product Design and Workflow for Designing and Generating Web applications
  • Designing Components in a Web Application
  • Code script generation using OpenAI API
  • Integration of IDEs for smoother workflow
  • Layout and Image generation for Web Applications
  • Prompt Engineering for Web Development
  • Building and Sharing WebCurate using Gradio
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  • Product Design for Generative AI application that assesses users
  • Audio processing using WhisperAI
  • Vector Embeddings and VectorStore
  • Audio Generation using Generative AI
  • Fine tuning using LoRA
  • Text Generation for Assessment
  • Assessing Generated Text using LLMs
  • Deploying the AnswerMe Bot using AIOps
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  • Product design and Workflow for the Marketing Assistant Application
  • Image processing and Generation using Generative AI
  • GANs and VARs
  • Stable diffusion in Transformers
  • Data Analysis using Generative AI Models
  • Prompt Engineering for Marketing
  • Deploying Marketeer AI using Gradio
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  • Workflow for the Analyzer Application
  • Text Analysis using Generative AI
  • RLHF in Generative AI
  • Semantic Search in Generative AI
  • Deploying Analyzer AI using Gradio
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  • Product Design and Workflow
  • Debugging and Optimization using Generative AI
  • Vulnerability Assessment using Generative AI
  • Deploying the Securebot using Gradio
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Advanced Certification in Generative AI & Prompt Engineering Projects

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Advanced Certification in Generative AI & Prompt Engineering

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How long does the Advanced Certification in Generative AI & Prompt Engineering remain valid?

The Advanced Certification in Generative AI & Prompt Engineering has a lifetime validity. This means that they do not have any expiry date. One can use this Generative AI certification at any time in their career.

You will receive an Advanced Certification in Generative AI & Prompt Engineering online through the learning management system after completing the course and passing the assignments or exams. Your certificate is available for download and you can share it on LinkedIn.

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Generative AI Course FAQs

What is Generative AI and why is it so trending?

Generative AI is a form of Artificial Intelligence wherein machines are able to generate high quality text, image, video and other forms of content. Until recently, the creative and reasoning faculty needed to create convincing content was reserved only to humans. Not anymore. Deep Learning models that are trained using Prompt Engineering techniques are today able to mimic human-like intelligence. Generative AI models are able to generate thought-provoking poetry, vivid images and fascinating videos. With the rise and growth ChatGPT, a whole new world of possibilities has arisen. We are at the beginning of an extremely exciting phase in the domain of Generative AI currently.

The skills of a Generative AI and Prompt Engineer are currently most sought-after in the AI world. An AI Prompt Engineer provides the right training environment for a Gen AI model. Based on the input prompts provided by an AI Prompt Engineer, the model learns and gets better with experience. The Generative AI model is able to recognize patterns, structures and relationships within the input training data. Next, it generates new and more useful data thanks to the input prompts provided by the Prompt Engineer. Hence, the role of a Generative AI Prompt Engineer is extremely crucial for the development of next generation AI models that can mimic human intelligence.

When it comes to the business benefits of Generative AI, we are just scratching the surface. Gen AI has a whole host of benefits in diverse industries. Currently, Gen AI models are being used in the media, entertainment, fashion, automobile, manufacturing, customer service and marketing domains. According to the most conservative estimates, the market for Gen AI is going to reach over $200 billion by 2032. According to market research firm Gartner, just by 2025 over 10% of the entire data will be created by AI alone. Now, you can estimate the benefits of Gen AI and its immense potential in the business world.

If you have a curiosity and desire to learn one of the hottest specializations in the AI domain, then you can learn Prompt Engineering. It is good to have a basic knowledge of any programming language but it is not mandatory.

All those looking to build an exciting career in the domain of Generative AI should enrol for this AI Prompt Engineer course. Even freshers looking to start their careers in the Gen AI domain are good to go. Experienced professionals like digital marketers, product managers, software developers, Data Scientists, Business Analysts can also enrol for our Prompt Engineering training. Professionals already working in the Artificial Intelligence domain can upskill with our AI Prompt Engineering training course.

Our Gen AI Prompt Engineering course has been designed with extensive inputs from professionals who are already working in this domain. Our project works and case studies are in line with the industry needs. Our Prompt Engineering course instructors are all qualified trainers with extensive industry experience. You will work on such cutting-edge projects like ChatGPT and other Generative frameworks and models. We also provide you placement assistance upon completion of this AI and Prompt Engineering course. Thus, if you want to see your career grow in the cutting-edge Generative AI domain, then you should enrol for our AI Prompt Engineering course.

At Intellipaat, our AI Prompt Engineering course instructors undergo a rigorous selection process. We want our learners to get the right balance of industry expertise and academic knowledge. That way you will have a holistic learning experience that reflects the actual Gen AI work being done in the real world.

The Intellipaat Gen AI and Prompt Engineering certification is well recognized in the AI industry. Thanks to the value our certification adds to organizations, our alumni are already working in top MNCs. This Intellipaat certification is your passport to a lucrative career in the Generative AI and Prompt Engineering domain. It is a proof that you have worked on real-world Gen AI projects and solved actual Generative AI case studies.

Intellipaat offers 24/7 query resolution, and you can raise a ticket with the dedicated support team. You can avail the email support for all your queries. We can also arrange a one-on-one session with our support team If your query does not get resolved through email. However, 1:1 session support is available up to 6 months from the start date of your Generative AI and Prompt Engineering course.

You can avail our job assistance benefit upon completion of the Gen AI and Prompt Engineering course. After submission of the project work you have to pass our Placement Readiness Test (PRT). Next, you will be moved to our placement pool. We will assist you in applying for AI Prompt Engineering job roles in companies based on your requirements and skills. We will also help you update your resume adding to it the new AI Prompt Engineering skills that you just acquired.

No, we don’t guarantee you a job. But we provide all the assistance needed for you to land your dream job in the AI Prompt Engineering domain. Although, the ultimate result is based on your intrinsic Gen AI and Prompt skills and how you perform in the interview. We do facilitate AI Prompt Engineering interview opportunities for you in top companies. That way you can find a well-paying Gen AI and Prompt Engineering job that matches your profile. Last but not least, we do everything to help well-deserving candidates to get placed in the most relevant companies around the world.

Intellipaat offers other advanced Artificial Intelligence and Machine Learning courses based on the industry needs. According to what specialization you want to master in the AI and ML domains, you can choose from our list of advanced industry-oriented courses. Intellipaat offers the following advanced Artificial Intelligence courses along with the current Generative AI and Prompt Engineering certification course.

  • Executive Professional Certification Program in Generative AI & Machine Learning
  • Executive Post Graduate Certification in Data Science & Artificial Intelligence
  • Advanced Certification in Data Science and Artificial Intelligence Course
  • MTech in Artificial Intelligence and Machine Learning
  • Master’s Degree in Artificial Intelligence Online by IU – 12 Months
  • Master’s Degree (M.Sc.) in Artificial Intelligence by IU – 2 Years
  • MTech in Applied AI & Communications

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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