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Prompt Engineering Training Course in Bangalore

Prompt Engineering Training Course in Bangalore
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    Live Online Classes starting on 1st Feb 2025
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    Instructor-led Prompt Engineering with Generative AI live online Training Schedule

    Flexible batches for you

    18,999
    Starts at 6,333 / monthWith No Cost EMI Know more
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    Why enroll for Prompt Engineering Course in Bangalore?

    pay scale by Edureka courseGartner reported that VC firms had invested more than $1.7 B in generative AI solutions over the past three years
    IndustriesGenerative AI market is expected to grow from $11.3 B in 2023 to $51.8 B by 2028 at a CAGR of 35.6% - Markets and Markets
    Average Salary growth by Edureka courseOpenAI is actively hiring applied AI research and prompt engineering domain with salaries upto $370,000 - LinkedIn

    Prompt Engineering Course in Bangalore Benefits

    Bloomberg recently reported that the generative AI market is poised to reach $1.3 trillion by 2032, and the World Economic Forum's โ€œThe Future of Jobs Report 2020" predicts AI will replace 85 million jobs globally by 2025. Prompt engineering with Generative AI allows for better control of AI outputs and customization. This ensures desired results while minimizing biases and increasing the AI's reliability and utility. Join us now to harness the full power of generative AI.
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    Why Prompt Engineering Course from edureka in Bangalore

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
     24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your Prompt Engineering Course

    Prompt Engineering Skills

    • skillPrompt Engineering
    • skillLeveraging Generative AI
    • skillLarge Language Models
    • skillLLM Application Development
    • skillWorking with ChatGPT
    • skillWorking with Popular GenAI Tools

    Prompt Engineering Tools

    • ChatGPT
    • Bard
    • Python
    • TensorFlow
    • Keras
    • Jupyter
    • vs code
    • DALL.E 2
    • Midjourney
    • Hugging Face
    • Open AI
    • Amazon Bedrock
    • Amazon Code Wishperer

    Prompt Engineering Course Curriculum in Bangalore

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD CURRICULUM

    Generative AI and its Industry Applications

    7 Topics

    Topics:

    • Generative AI Principles
    • Types of Generative Models
    • Applications of Generative Models
    • Machine Learning Algorithms with GenAI
    • Applications of Generative AI
    • Generative AI: Advantages and Disadvantages
    • Ethical Considerations

    skillHands-on:

    • Implementing Generative AI Use Cases
    • Implementing Machine Learning with GenAI

    skillSkills You will Learn:

    • Generative AI Fundamentals
    • Generative AI for Problem Solving
    • Ethical Insights into Generative AI

    NLP and Deep Learning

    10 Topics

    Topics:

    • Natural Language Processing (NLP) Essentials
    • Text Classification
    • Text Preprocessing
    • Basic NLP Tasks
    • Deep Learning for NLP
    • Neural Networks
    • Backpropagation
    • RNN
    • LSTM
    • Deep Learning Applications in NLP

    skillHands-on:

    • Simple Text Classification Task
    • Implementing Core NLP Tasks
    • Working with Deep Learning for NLP

    skillSkills You will Learn:

    • Text Classification
    • Text Pre-processing
    • Deep Learning Applications for NLP
    • Neural Network Architectures

    Autoencoders and GANs

    8 Topics

    Topics:

    • Basic Autoencoders
    • Variational Autoencoders (VAEs)
    • Applications in Data Compression and Generation
    • Basic GAN Architecture
    • Training GANs
    • Variants of GANs
    • DCGAN
    • CycleGAN

    skillHands-on:

    • Working with GANs
    • Data Compression with Autoencoders
    • Training Variants of GANs

    skillSkills You will Learn:

    • Working with Autoencoders and VAEs
    • GAN Architecture
    • GAN Training Techniques

    Language Models and Transformer-based Generative Models

    8 Topics

    Topics:

    • Exploring Language Models
    • Types of Language Models
    • Applications of Language Models
    • The Transformer Architecture: Attention Mechanism
    • Advanced Transformer Models
    • GPT
    • BERT
    • Applications of Transformer-based Models

    skillHands-on:

    • Working with GPT
    • Implementing BERT
    • Applying Advanced Transformer Models

    skillSkills You will Learn:

    • Working with Language Models
    • Transformer Architectures
    • Implementing Transformer-based Models

    Prompt Engineering

    7 Topics

    Topics:

    • Prompt Engineering Principles
    • What is Prompt Engineering?
    • Importance and Applications
    • Prompt Design Strategies
    • Types of Prompting
    • Crafting Effective Prompts
    • Parameter Tuning

    skillHands-on:

    • Designing Precise Prompts
    • Experimenting with Various Prompt Design Strategies
    • Advanced Parameter Tuning for Prompt Engineering

    skillSkills You will Learn:

    • Prompt Engineering Principles
    • Crafting Effective Prompts
    • Advanced Parameter Tuning for Prompts

    Generative AI with LLMs

    5 Topics

    Topics:

    • LLMs and Generative AI Project Lifecycle
    • LLM Pre-Training and Scaling
    • Fine-Tuning LLMs with Specific Instructions
    • Efficient Fine-Tuning of Parameters
    • Reinforcement Learning from Human Response

    skillHands-on:

    • Experimenting with LLM
    • Applying Fine-Tuning on Parameters
    • LLM Project Lifecycle
    • Reinforcement Learning Exercises

    skillSkills You will Learn:

    • LLM Scaling and Pre-training
    • Fine-tuning Techniques for LLMs
    • Implementing Reinforcement Learning in LLMs

    LLMs for Search, Prediction, and Generation

    6 Topics

    Topics:

    • Search Query Completion
    • Next Word Prediction
    • Word Embeddings
    • Transformers
    • Generating Text
    • Stacking Attention Layers

    skillHands-on:

    • Execute Search Query and Next-word Prediction using LLMs
    • Implement LLMs with TensorFlow and PyTorch
    • Build Chatbot using LLMs

    skillSkills You will Learn:

    • LLM Application in NLP Tasks
    • LLM Implementation with Python Libraries
    • Problem Solving using LLM

    LangChain for LLM Application Development

    7 Topics

    Topics:

    • LangChain Foundations
    • Benefits of using LangChain
    • Using LangChain to Develop LLM Applications
    • Value Propositions of LangChain
    • Components of LangChain
    • Off-the-Shelf Chains in LangChain
    • Build and Deploy LLM-Powered Applications using LangChain

    skillHands-on:

    • Build an LLM-Powered Application using LangChain
    • Experiment with Off-the-Shelf Chains in LangChain
    • Deploy an LLM Application

    skillSkills You will Learn:

    • LangChain Implementation
    • Grasping LangChain Foundations
    • Developing LLM applications using LangChain

    Interacting with Data Using LangChain and RAG

    6 Topics

    Topics:

    • Understanding Retrieval-Augmented Generation (RAG)
    • Document Loading and Splitting
    • Vector Stores and Embeddings
    • Retrieval
    • Question Answering with Chatbots
    • Building RAG Models using LangChain

    skillHands-on:

    • Construct a LangChain-RAG Chatbot for Custom Data
    • Deploy Chatbot in a Production Environment
    • Develop a Basic RAG Model

    skillSkills You will Learn:

    • Document Management with Loading and Splitting
    • Retrieval Techniques
    • Chatbot-Based Question and Answering
    • RAG Model Construction with LangChain

    Generative AI on Cloud

    8 Topics

    Topics:

    • Cloud Computing Foundations
    • AWS S3
    • Amazon EC2 Trn1n
    • Amazon EC2 Inf2
    • Amazon Sagemaker
    • Amazon CodeWhisperer
    • Amazon Bedrock
    • Azure OpenAI

    skillHands-on:

    • Setting up a Cloud Computing Environment
    • Navigating Cloud Platforms for AI Development
    • Utilizing Amazon Elastic Compute Cloud (EC2) Trn1n Instances for AI Workloads
    • Building and Deploying Machine Learning Models using SageMaker

    skillSkills You will Learn:

    • Working with Amazon EC2 Inf2 Instances
    • Incorporating CodeWhisperer into AI Development
    • Implementing Azure OpenAI for Generative AI Solutions

    Working with ChatGPT (Self-paced)

    16 Topics

    Topics:

    • Introduction to ChatGPT
    • Leveraging ChatGPT for Productivity
    • Mastering Excel through ChatGPT
    • Becoming a Data Scientist using ChatGPT
    • Data Analysis in PowerBI with ChatGPT
    • Creating a Content Marketing Plan
    • Social Media Marketing using ChatGPT
    • Keyword Search and SEO using ChatGPT
    • Generating Content using ChatGPT
    • Implementing ChatGPT for Customer Service
    • ChatGPT for Developers
    • ChatGPT for Creating Programs
    • ChatGPT for Debugging
    • ChatGPT for Integrating New Features
    • ChatGPT for Testing
    • Documenting the Code with ChatGPT

    skillHands-on:

    • Explore ChatGPT's Capabilities
    • ChatGPT for Programming and Productivity Enhancement
    • Leveraging ChatGPT for Debugging and Integrating New Features
    • Experiment with ChatGPT for Testing Purposes and Generating Test Cases
    • Practice Documenting Code and API Concepts with ChatGPT

    skillSkills You will Learn:

    • Explore the power of ChatGPT
    • Productivity Enhancement
    • Programming with ChatGPT
    • ChatGPT for Code Debugging and Documentation
    • Software Testing using ChatGPT

    Python with Generative AI (Self-paced)

    5 Topics

    Topics:

    • Python Code Generation with Generative AI
    • Gen AI Tools for Coding
    • Advanced Code Optimization with ChatGPT Gen AI Tool
    • Coding with ChatGPT
    • Building an Application in Python with ChatGPT

    skillHands-on:

    • Utilize Gen AI Tools to Enhance Coding Tasks
    • Optimize a Code using the ChatGPT Gen AI Tool
    • Create Python Scripts using ChatGPT

    skillSkills You will Learn:

    • Generative AI-Powered Python Coding
    • Code Enhancement with ChatGPT

    Evaluating LLM Performance (Self-paced)

    6 Topics

    Topics:

    • LLM Performance Comparison
    • Perplexity
    • BLEU Score
    • Human Evaluation
    • Choosing the Right Metrics
    • Interpreting the Results

    skillHands-on:

    • Evaluate LLM using Various Performance Metrics
    • Select Appropriate Metrics for Specific Generative AI Task
    • Analyze LLM Performance

    skillSkills You will Learn:

    • LLM Performance Evaluation
    • Interpreting LLM Performance Results

    Industry Case Studies and In-class Project (Self-paced)

    4 Topics

    Topics:

    • In-class Project: AI-Powered Text and Image Generator
    • Case Study: Generative AI for Personalized Learning
    • Case Study: Generative AI for Creative Content Generation
    • Case Study: Generative AI for Business

    skillHands-on:

    • Building a Generative AI Powered Text and Image Generator

    skillSkills You will Learn:

    • Analyzing Generative AI Implementations
    • Building Generative AI Models

    Bonus Module - Machine Learning with Generative AI (Self-paced)

    10 Topics

    Topics:

    • Artificial Intelligence Essentials
    • Disciplines of AI
    • Types of AI
    • Machine Learning Fundamentals
    • Predictive ML Models
    • ML Algorithms: Deep Dive
    • Supervised Learning
    • Unsupervised Learning
    • Semi-Supervised Learning
    • Reinforcement Learning

    skillHands-on:

    • Experiment with Various AI Tools
    • Implement a ML Model
    • Explore Different Disciplines and Types of AI

    skillSkills You will Learn:

    • Machine Learning Fundamentals
    • Machine Learning Algorithms
    • Working with Predictive ML Models

    Bonus Module - Generative AI Tools (Self-paced)

    6 Topics

    Topics:

    • Hugging Face Transformers
    • OpenAI GPT3 API
    • Google Cloud AI Platform
    • MidJourney
    • DALL E-2
    • Google Bard

    skillHands-on:

    • Implement a Basic Model using Hugging Face Transformers
    • Generate content with OpenAI GPT3 API
    • Deploy a Model on Google Cloud AI Platform
    • Generate Images using MidJourney and DALL E-2
    • Working with Google Bard

    skillSkills You will Learn:

    • Implementing Hugging Face Transformers
    • Working with OpenAI GPT3 API
    • Working with MidJourney and DALL E-2
    • Content Generation with Google Bard

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    Prompt Engineering Course in Bangalore Description

    About Prompt Engineering Course Online

    This Prompt Engineering Course offers a comprehensive journey through Generative AI, covering fundamental concepts, Deep Learning in NLP, and advanced Generative Models like GANs and Transformers. You'll explore the crucial art of Prompt Engineering and dive into Large Language Models (LLMs) for various applications. Additionally, you'll gain practical skills with LangChain and RAG for effective data interaction and understand how to evaluate model performance. The Prompt Engineer course concludes with insights into essential Generative AI tools such as Hugging Face Transformers and the OpenAI GPT3 API for practical application and deployment. At the end of the course, you will be completing a capstone project to endorse your learning.

      What are the learning outcomes of this Prompt Engineering Course?

      The learning outcomes of this Prompt Engineering Course online are as follows:
      • Prompt Engineering
      • Leveraging Generative AI
      • Large Language Models
      • LLM Application Development
      • Working with ChatGPT
      • Working with Popular GenAI Tools

      Why take up the Online Prompt Engineering Course?

      Enrolling in the Online Prompt Engineering Course Online offers a structured and effective way to gain the skills and knowledge needed to master AI model customization. This will enable you to leverage AI technology to its fullest potential for your specific applications and needs.

        Who should take up this Prompt Engineering Course?

        The Prompt Engineering Course is suitable for a wide range of individuals, including:
        • AI professionals
        • Developers
        • Data scientists
        • Business professionals
        • Anyone interested in AI

        What are the prerequisites for this Prompt Engineering course?

        There are no prerequisites required for this Prompt Engineering course. However, it is beneficial to have:
        • Basic Python Programming Knowledge
        • Problem Solving Skills
        • Fundamentals of Machine Learning

        What is the Prompt Engineering Course fee?

        The cost of the Prompt Engineering Course is INR18,999, but you can avail yourself of a 10% discount, and the discounted price is INR 17,099. The EMI starts at 5,700 / month with No Cost EMI.

          What are the system requirements for this Prompt Engineering Course?

          The system requirements for a Prompt Engineering course Online include:
          • A computer: A laptop or desktop computer with a minimum of 8 GB RAM and Intel Core-i3 processor to run NLP and machine learning models is required.
          • An internet connection: A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.

          How will I execute the practicals in this Prompt Engineering Course Online?

          Practicals for this Prompt engineering course will be implemented using Python, VS Code and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.

            How long is the Prompt Engineering Course online?

            The Prompt engineering course duration is 30 hrs. The batches are scheduled on the weekend. You can choose your flexible schedule and time while enrolling in the Prompt Engineering Certification course.

              Prompt Engineering Certification

              To unlock Edurekaโ€™s Prompt Engineering course completion certificate, you must ensure the following:

              • Completely participate in this Prompt Engineering with Generative AI course certificate.
              • Evaluation and completion of the quizzes and projects listed as part of the curriculum.
              Edureka provides industry-recognized course completion certificates for prompt engineering. These certificates have lifetime validity. To earn this certification, you need to enroll in the Prompt Engineering Certification Course and fulfill the minimum requirements.

              Prompt Engineering certification provides several distinct advantages:

              • Skills Validation: Proving proficiency in tailoring AI models has become increasingly sought-after across industries.
              • Career Advancement: Certification can provide opportunities and career advancement in fields like content generation, data analysis and AI development.
              • Competitive Edge: It demonstrates your expertise in AI customization and problem-solving that sets you apart from others.
              • Industry Relevance: Generative AI technology can be found across industries, making your certification relevant and applicable across numerous fields.
              • Ethical AI Practices: Certification programs typically include training on ethical AI usage and emphasizing responsible practices, which have become increasingly significant.
              • Entrepreneurship: Certification equips you to develop AI-powered solutions while encouraging entrepreneurship and innovation within AI applications.
              • Professional Networks: Certification programs often present an excellent opportunity to network with industry professionals and expand your professional connections.
              After earning your Prompt Engineering certification, you could be qualified for various job roles related to Prompt Engineering and Generative AI. Some examples may include being qualified for: Prompt Engineer, NLP Engineer, Chatbot Developer, Data Scientist and AI Engineer as well as Content Creator or Social Media Influencer roles.
              • OpenAI Certification (when available): Validate your ability to work with OpenAI models like GPT.
              • Microsoft Azure AI Engineer Certification: This covers the use of Azureโ€™s AI tools, including prompt creation for natural language processing tasks.
              • Google Cloud AI Certification: This includes training in AI services and prompt engineering best practices.
              • Edureka: Offer tailored certifications in AI and prompt crafting.
              Yes, as AI adoption increases, employers across industries value the ability to fine-tune AI interactions. Prompt engineering is particularly useful in roles like AI Product Manager, AI Consultant, Data Scientist, and AI UX Designer. These skills are becoming essential in areas that rely on AI-driven solutions.

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              Prompt Engineering Course in Bangalore FAQ

              What is the cost of Prompt Engineering Course in Bangalore?

              The cost of a prompt engineering course in Bangalore is INR 18,999 for classroom training, but you can get it at a discounted price of INR 17,099. Unfortunately, this offer is limited. Other financial offers are also available, like No-Cost EMI, which starts at INR 5,700 / month.

              Which is the best training institute/provider for a Prompt Engineering Course in Bangalore?

              Edureka is the best training institute/provider for a Prompt Engineering Course in Bangalore. This course is designed to equip participants with the necessary skills to excel in prompt engineering. It provides unique features, from instructor-led sessions and hands-on projects to flexible learning schedules, making it suitable for both beginners and experienced professionals.

              What is the salary of a Prompt engineer in Bangalore?

              The average salary of a Prompt Engineer is โ‚น37.6 lakhs. Employees who are knowledgeable in Prompt Engineering earn an average of โ‚น37.6 lakhs, with wages ranging mostly from โ‚น16.9 lakhs to โ‚น151.7 lakhs, according to 6figr.

              Does Edureka Provide Prompt Engineering Training in Bangalore near me?

              Yes, Edureka provides comprehensive Prompt Engineering training, which can be accessed from anywhere, including BTM, Marathahalli, and Whitefield in Bangalore. Their training program is designed to help learners master the principles of generative AI and prompt engineering, with a focus on practical, hands-on projects and real-world applications.

              What are the top IT companies that need a Prompt engineer in Bangalore?

              The top IT companies that need a Prompt engineer in Bangalore:
              • Accenture
              • NTT
              • Unisys
              • Unify Technologies
              • Garioxtech Private Limited
              • IBM
              • Oracle
              • Boston Consulting Group
              • Cambium Networks

              What are the job opportunities after completing Prompt Engineering Course in Bangalore?

              The Job Opportunities After Completing the Prompt Engineering Course in Bangalore are:
              • Prompt Engineer 
              • Software Engineer I
              • Electronics Repair & Service Engineer
              • Microsoft Teams Chatbot
              • Diploma Engineer Trainee
              • Laptop Technicians/Engineers 
              • SDE 1/2 - Backend
              • SW Engineer 2

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