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4Achievers Institute is a premier Chat GPT Generative AI Training Institute in Bangalore, offering a comprehensive Chat GPT Generative AI Training course for aspiring AI professionals. This course is designed to equip students with the essential knowledge and hands-on skills to work with Generative AI models, including ChatGPT. As AI and machine learning technologies continue to shape industries, mastering these tools is essential for career advancement in tech, data science, and AI development.
At 4Achievers, we focus on providing practical experience, in-depth theoretical understanding, and industry exposure to make our students job-ready. Our curriculum is crafted to cover key areas like Natural Language Processing (NLP), Deep Learning, and the Chat GPT framework. We use a blend of classroom learning, live projects, and real-world case studies to ensure students not only grasp the concepts but also apply them effectively.
4Achievers Institute offers more than just theoretical knowledge; we provide a learning experience that prepares students for real-world challenges. Here’s what students can expect during their Chat GPT Generative AI Training:
Working on live projects is one of the key highlights of the course. Students get the opportunity to work on ChatGPT based applications like chatbots, content generation tools, automated customer service solutions, and more. These projects mimic real-world scenarios, helping students gain practical experience and develop their problem-solving skills.
| Live Project | Objective | Outcome |
|---|---|---|
| AI-Powered Chatbot Development | Build a conversational chatbot using Chat GPT. | Understand NLP, AI integration, and chatbot training. |
| Content Generation with AI | Create AI-based content generation tools. | Learn about fine-tuning models for content creation. |
| AI-Powered Virtual Assistant | Develop a virtual assistant that understands natural language. | Learn how to build and deploy AI models in real-world applications. |
These live projects help students apply their learning to real-time scenarios, preparing them for roles in the rapidly growing AI sector.
We understand that securing a job after training is crucial for every student. That’s why 4Achievers Institute offers robust placement assistance to help students land jobs in top companies. From resume building to mock interviews, our placement team is committed to preparing students for the job market. Our strong industry network ensures that our students get access to the best job opportunities in the AI and tech fields.
| Placement Assistance Feature | Details |
|---|---|
| Resume Building | Personalized review to highlight relevant skills and projects. |
| Mock Interviews | Practice real-world interviews with feedback from industry experts. |
| Job Referrals | Access to job openings in top companies working with AI. |
| Career Support | One-on-one support to help with job applications and interviews. |
Our placement assistance ensures that students are well-prepared for roles such as AI engineers, NLP specialists, and machine learning developers.
At 4Achievers, students have access to world-class IT labs equipped with the latest hardware and software needed to work with Generative AI tools. The labs are designed to provide a professional and conducive environment for students to practice building AI models, training datasets, and deploying machine learning algorithms.
| Lab Facility | Tools & Technologies | Benefit |
|---|---|---|
| AI and Machine Learning Lab | Python, TensorFlow, PyTorch, Keras | Work with popular AI frameworks and build deep learning models. |
| Natural Language Processing Lab | NLTK, SpaCy, Hugging Face | Focus on text analysis, NLP tasks, and fine-tuning Chat GPT models. |
| Cloud Computing & Deployment Lab | AWS, Google Cloud, Microsoft Azure | Learn to deploy AI models on cloud platforms for scalability. |
The IT labs at 4Achievers are equipped with industry-grade tools, providing students with the necessary resources to succeed in their AI projects and career.
Here are some compelling reasons why 4Achievers Institute is the top choice for Chat GPT Generative AI Training in Bangalore:
| Feature | Benefit |
|---|---|
| Comprehensive Curriculum | Gain in-depth knowledge of Generative AI, Chat GPT, NLP, and machine learning. |
| Live Project Work | Apply theoretical knowledge to real-world projects and solve industry-relevant problems. |
| Expert Trainers | Learn from experienced instructors with hands-on industry experience in AI and machine learning. |
| Placement Assistance | Get help in securing jobs with top companies in the AI space. |
| State-of-the-Art IT Labs | Work with the latest AI tools and technologies in a professional learning environment. |
| Flexible Learning Options | Choose between regular, weekend, or online classes to suit your schedule. |
We ensure that our students get a balanced mix of technical training and soft skills development that prepares them for the demands of the Generative AI field.
The Chat GPT Generative AI Training at 4Achievers Institute is structured to provide students with both theoretical and practical knowledge. The course is designed to cover the following key modules:
| Module | Topics Covered | Duration |
|---|---|---|
| Introduction to Generative AI | Overview of AI, deep learning, neural networks, and Chat GPT. | 1 Week |
| Natural Language Processing (NLP) | Text preprocessing, sentiment analysis, language models. | 2 Weeks |
| Working with Chat GPT | Fine-tuning Chat GPT, building conversational models, and chatbots. | 3 Weeks |
| Advanced Deep Learning Techniques | GANs, transformers, attention mechanisms, and model optimization. | 3 Weeks |
| AI Deployment and Integration | Deploying Generative AI models, APIs, cloud platforms. | 2 Weeks |
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Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
At 4Achievers Institute, we believe that practical learning is key to mastering Chat GPT Generative AI. To make this training more effective, we integrate Agile methodologies throughout our Chat GPT Generative AI Training course. Agile activities are designed to ensure that students not only understand the theory behind Generative AI but also gain the hands-on experience they need to apply this knowledge in real-world situations.
Agile practices like sprints, standups, and pair programming are implemented in our Chat GPT Generative AI Training in Bangalore to foster collaboration, keep students on track, and ensure continuous progress. This approach not only enhances the learning experience but also prepares students for real-world AI projects.
Here’s how Agile activities are structured during the Chat GPT Generative AI Training at 4Achievers Institute:
In Agile, sprints are short, focused periods where students work on specific tasks or modules. Each sprint during the Chat GPT Generative AI Training focuses on a key aspect of the Generative AI process, from building simple chatbots to fine-tuning models like ChatGPT for more complex tasks. By the end of each sprint, students will have made tangible progress on their projects.
| Sprint | Focus Area | Objective |
|---|---|---|
| Sprint 1: Introduction to Generative AI | Understanding Chat GPT, NLP, and deep learning basics | Get familiar with the concepts and tools used in Generative AI. |
| Sprint 2: Data Preprocessing | Text data cleaning, tokenization, and feature extraction | Learn to process and clean data to make it ready for Chat GPT training. |
| Sprint 3: Building AI Models | Train Chat GPT models for specific tasks (e.g., chatbot, content generation) | Understand model architecture and how to train Chat GPT. |
| Sprint 4: Model Evaluation & Tuning | Fine-tune models, evaluate performance, and improve accuracy | Learn to enhance model outputs by fine-tuning and optimizing Chat GPT. |
| Sprint 5: Deployment and Integration | Deploy models and integrate with APIs or platforms | Gain hands-on experience in deploying Generative AI models in real-world scenarios. |
Each sprint concludes with a Sprint Review where students showcase their work and discuss challenges, followed by a Sprint Retrospective to reflect on improvements for the next sprint.
Daily standups are short, focused meetings that help students track their progress and stay on task. During the Chat GPT Generative AI Training course, students engage in daily standups where they discuss the following:
This ensures that everyone is aligned on goals and provides a platform for students to ask for help when needed. It also encourages accountability and consistent progress throughout the course.
| Standup Activity | Purpose | Outcome |
|---|---|---|
| Progress Update | Share completed tasks and outline next steps. | Keeps students focused and informed. |
| Identifying Challenges | Discuss roadblocks and challenges. | Encourages problem-solving and peer collaboration. |
| Setting Goals for the Day | Define clear tasks to complete before the next standup. | Ensures task management and avoids procrastination. |
Pair programming is a key Agile practice where two students work together on the same task. One is the driver (who writes the code), and the other is the navigator (who reviews the code and provides suggestions). During the Chat GPT Generative AI Training, this method helps students collaborate, share knowledge, and tackle complex AI challenges together.
| Pair Programming Activity | Objective | Outcome |
|---|---|---|
| Data Preprocessing | One student works on cleaning the data, while the other reviews and guides. | Helps students gain confidence in handling large datasets and improving quality. |
| Model Fine-Tuning | Work together to fine-tune a Chat GPT model for specific tasks. | Develop a deeper understanding of model optimization. |
| Chatbot Development | Build and test a conversational AI model with both students actively coding and reviewing. | Strengthen skills in building Generative AI applications like chatbots. |
Pair programming enhances teamwork, encourages knowledge sharing, and improves the overall quality of the project.
At the end of each sprint, students participate in a Sprint Retrospective. This is a time to reflect on the work completed, celebrate successes, and identify areas for improvement. During the Chat GPT Generative AI Training program, retrospectives are a critical part of the learning process, allowing students to share feedback and refine their workflows.
| Retrospective Questions | Purpose | Benefit |
|---|---|---|
| What went well during this sprint? | Discuss what students did well and what worked effectively. | Reinforces positive behaviors and strategies. |
| What didn’t go as planned? | Identify challenges and obstacles encountered during the sprint. | Helps students troubleshoot and learn from mistakes. |
| How can we improve for the next sprint? | Discuss strategies for optimizing the learning process and task execution. | Encourages a continuous learning mindset and improvement. |
This practice fosters a culture of continuous improvement, allowing students to adapt and enhance their approach as they move through the course.
To manage tasks and stay organized, students use Kanban boards during the Chat GPT Generative AI Training. These boards help visualize the status of tasks and ensure everyone knows what they need to focus on. Students move tasks across columns like To Do, In Progress, and Done as they complete each stage of their project.
| Kanban Column | Tasks | Outcome |
|---|---|---|
| To Do | Researching the architecture of Chat GPT, preparing data, planning chatbot features. | Organize and prioritize tasks before starting the sprint. |
| In Progress | Building the Chat GPT model, training with data, fine-tuning parameters. | Keep track of ongoing tasks and ensure no task is left behind. |
| Done | Completed models, deployed chatbots, finished reports. | Provides a sense of accomplishment and a clear view of what has been completed. |
The use of Kanban boards promotes efficiency, organization, and collaboration throughout the training process.
By integrating Agile into our Chat GPT Generative AI Training in Bangalore, students experience a more dynamic, organized, and productive learning environment. The main benefits include:
| Agile Practice | Benefit |
|---|---|
| Sprints | Ensures goal-oriented, focused learning with measurable progress. |
| Daily Standups | Keeps students aligned, encourages regular feedback, and helps with problem-solving. |
| Pair Programming | Fosters collaboration, improves coding skills, and enhances learning through peer feedback. |
| Retrospectives | Encourages continuous learning and process improvement. |
| Kanban Boards | Provides visual organization, task management, and clear tracking of progress. |
The integration of Agile activities like sprints, Standups, pair programming, and Kanban boards into our Chat GPT Generative AI Training at 4Achievers Institute provides a structured, interactive, and hands-on approach to learning. These activities ensure that students not only gain technical knowledge in Generative AI but also develop essential skills in teamwork, communication, and problem-solving—preparing them for the demands of the AI industry.
4Achievers offers the step-by-step guide to get your dream job after completing Course.
