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At 4Achievers Institute, we offer a cutting-edge Chat GPT Generative AI Training course designed to provide students with both theoretical knowledge and practical skills. This course focuses on Generative AI technologies, specifically Chat GPT, which are revolutionizing industries by enabling AI-driven conversations and content generation.
We believe in a hands-on, project-based learning approach, where students get to work on live projects, receive placement assistance, and have access to world-class IT labs to gain real-world experience and stay ahead in the competitive AI landscape. By the end of this course, students will be proficient in building, training, and deploying advanced Chat GPT models, preparing them for careers in AI, machine learning, and data science.
| Feature | Description |
|---|---|
| Live Project Work | Students work on real-world projects, developing Chat GPT models to solve practical business challenges. |
| Placement Assistance | Dedicated job placement support to help students secure roles in top companies using Generative AI technologies. |
| World-Class IT Labs | Access to high-end labs equipped with the latest AI tools and technologies to build and deploy Generative AI models. |
| Experienced Trainers | Learn from experts with extensive industry experience in AI, machine learning, and natural language processing (NLP). |
| Comprehensive Curriculum | The course covers all aspects of Chat GPT technology, including its architecture, applications, and integration. |
| Offering | Details |
|---|---|
| Hands-on Learning | Students work on practical assignments and live projects, gaining exposure to real-world challenges and solutions. |
| Project Work on Chat GPT | Develop and train Chat GPT models to automate tasks such as customer support, content creation, and chatbot development. |
| Industry-Ready Skills | Learn the latest techniques in AI model deployment, including using OpenAI’s API, Python, and TensorFlow for NLP tasks. |
| Personalized Mentoring | One-on-one sessions with trainers to address individual learning needs and to guide on AI concepts and project execution. |
| Career Support | Access to resume building, interview preparation, and job placement assistance through our strong industry network. |
| Module | Topics Covered |
|---|---|
| Introduction to Generative AI | Understand the basics of AI, natural language processing (NLP), and the role of Chat GPT in modern applications. |
| Building Chat GPT Models | Learn how to train and fine-tune Chat GPT models for specific use cases such as chatbots, text generation, and more. |
| Advanced NLP Techniques | Explore advanced techniques like transformers, attention mechanisms, and how they power Chat GPT's language understanding. |
| AI Model Deployment | Learn how to deploy your Chat GPT models using APIs, integrate them with existing systems, and scale them effectively. |
| Ethics and Bias in AI | Study the ethical implications of AI, how to handle biases, and ensure fairness when building AI models. |
| Benefit | How It Helps |
|---|---|
| Live Project Work | Gain hands-on experience by working on real-world projects that involve Chat GPT implementation for businesses. |
| Placement Assistance | Our team provides placement support, helping students connect with AI job opportunities and build a successful career. |
| State-of-the-Art IT Labs | Students get access to world-class IT labs with the latest AI tools like TensorFlow, Python, and OpenAI’s GPT models. |
| Industry-Experienced Trainers | Learn from trainers with extensive experience in AI and Generative AI technologies, ensuring students get the most up-to-date training. |
| Networking and Career Support | Through placement assistance, resume writing workshops, and mock interviews, students receive all the resources needed to secure a job in AI. |
| Application Area | How Chat GPT is Used |
|---|---|
| Customer Support Automation | Build intelligent chatbots using Chat GPT to handle customer inquiries, complaints, and service requests automatically. |
| Content Creation | Leverage Chat GPT to automatically generate written content, blog posts, and product descriptions. |
| Language Translation | Use Chat GPT models to develop systems that can translate languages or provide language learning tools. |
| Virtual Assistants | Build advanced virtual assistants that understand natural language and provide personalized responses to users. |
| AI-Powered Search Engines | Enhance search engines by integrating Chat GPT to interpret user queries and provide more accurate results. |
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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
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 integrate Agile methodology into our Chat GPT Generative AI Training to ensure that students not only gain technical expertise in AI but also learn how to manage and execute AI projects in an efficient and collaborative way. The Agile approach allows students to work in short cycles or "sprints," where they tackle specific tasks related to Chat GPT model building, testing, and deployment. This ensures that students get regular feedback, make improvements, and build a real-world project in a structured manner, all while enhancing teamwork, communication, and problem-solving skills.
By using Agile activities, students work collaboratively on real-world Chat GPT projects, adapt quickly to changes, and implement iterative improvements to their models, which mirrors the actual workflow of AI development in the industry.
| Agile Activity | Description |
|---|---|
| Sprint Planning | Students plan their work in short, focused periods (sprints) to complete specific tasks like data preprocessing, model training, or performance evaluation of Chat GPT models. |
| Daily Stand-ups | Every day, students come together for a quick meeting to discuss what they worked on, what they're planning to do next, and any obstacles they're facing in building their Chat GPT models. |
| Sprint Review | At the end of each sprint, students present their progress—such as a working version of the Chat GPT model—to instructors and peers for feedback and improvements. |
| Sprint Retrospective | After each sprint, students reflect on what went well, what didn’t, and what can be improved for the next sprint. This helps them apply lessons learned in their Chat GPT Generative AI Training. |
| Backlog Grooming | Students prioritize their tasks based on project needs. This ensures that the most important parts of the Chat GPT model are built and improved first, such as fine-tuning the model or optimizing performance. |
| Agile Principle | Benefit to Students |
|---|---|
| Iterative Progress | Students work in iterative cycles, completing tasks like data cleaning or model training in manageable chunks, ensuring steady progress. |
| Collaboration and Teamwork | Agile emphasizes teamwork. Students collaborate, discuss challenges, and share ideas to improve the Chat GPT model, fostering a collaborative learning environment. |
| Continuous Feedback | Regular reviews and feedback during sprint reviews and retrospectives ensure that students can make quick adjustments to their Chat GPT models and learning approaches. |
| Adaptability to Changes | Agile prepares students for change. If they find that their Chat GPT model isn't performing well, they can pivot, adapt, and improve it based on real-time insights. |
| Faster Problem Solving | Working in sprints helps students identify and resolve issues quickly—whether it’s fine-tuning the Chat GPT model or solving coding bugs. |
| Agile Activity | **Role in Chat GPT Generative AI Training |
|---|---|
| Sprint Planning | Students break down complex Chat GPT projects into smaller, achievable tasks (such as data preprocessing or model tuning), making it easier to focus on one task at a time. |
| Daily Stand-ups | Regular updates during daily stand-ups keep everyone on the same page and ensure progress is moving smoothly in building Chat GPT applications. |
| Sprint Review | During sprint reviews, students demonstrate working prototypes or models, such as a Chat GPT-powered chatbot, to receive valuable feedback and ensure their models meet business requirements. |
| Sprint Retrospective | This is an opportunity for students to reflect on their work—identifying challenges like low model accuracy or missing functionality, and planning how to address these issues in the next sprint. |
| Backlog Grooming | As the project progresses, students reassess their goals, adjusting priorities based on the model’s performance and feedback received from previous sprints. |
| Application Area | Agile Activity Used |
|---|---|
| Building Chatbots | Students break down the development process of a Chat GPT-powered chatbot into smaller tasks, such as training, deployment, and testing, during sprints. |
| Content Generation | Using Agile sprints, students can focus on refining the content generation aspect of Chat GPT, testing the output in each sprint for improvement. |
| Natural Language Processing (NLP) | By applying Agile, students can iterate on building NLP tasks, such as improving the model’s ability to understand context and generate human-like responses. |
| AI-Based Customer Support | Students build, test, and refine Chat GPT customer support systems by working in short sprints to ensure the AI responds accurately to queries. |
4Achievers offers the step-by-step guide to get your dream job after completing Course.
