Generative AI (Gen AI) Course
- Accredited by Swayam, Approved by the Government of India
- Get Trained by Experts from ISB, IIT & IIM
- 15+ Hours of Self-Paced Recorded Videos
- Earn a Certificate from 360DigiTMG
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The vibrant IT sector in India, which consists of both well-established companies and rapidly growing startups, is leading the way in integrating AI across several disciplines. The adoption of AI-driven solutions by well-established organisations in the banking, e-commerce, and industrial sectors is indicative of this continuous movement. At the same time, entrepreneurs are using cutting-edge AI applications to upend established sectors and create a thriving ecosystem for technical developments. Keeping up with the changing startup scene and keeping an eye on India's tech news can provide you with insights into the newest developments in artificial intelligence. The government, business, and academic community working together to promote research into artificial intelligence (AI) will further establish India as a centre for cutting-edge AI innovation.
Generative AI Certification Program Overview
Microsoft Excel is a powerful spreadsheet tool renowned for its versatility and ease of use in data analysis. It excels in managing smaller datasets, though working with Big Data can present challenges. Our comprehensive Data Analytics with Excel program covers everything from beginner to advanced levels, focusing on practical, project-based learning. Participants will delve into Excel’s core analytics features, including conditional formatting, lookup functions, sorting, filtering, and pivot tables.
The curriculum also emphasizes data visualization, offering real-world projects to boost portfolios and interview readiness.
Offered through the 360DigiTMG Training platform, this program supports collaborative real-time interaction using Excel Online and Microsoft 365. By completing this course, you’ll gain a certification that enhances your job prospects and demonstrates your expertise in data management and analysis.
What is Data Analytics Using Excel?
Data Analytics Using Excel involves leveraging Microsoft Excel's robust features to manage, analyze, and visualize data effectively. Excel, developed by Microsoft, is a versatile spreadsheet software compatible with Windows, iOS, macOS, and Android. It provides a structured environment where users can input and manipulate data in rows and columns, performing various calculations and analyses.
Excel's powerful suite of tools includes pivot tables, which allow users to summarize and explore large datasets, and advanced functions like VLOOKUP and INDEX/MATCH for complex data retrieval. The software also offers extensive graphing capabilities, enabling users to create charts and visualizations that help in interpreting data trends and patterns without needing advanced coding skills.
Excel's features, such as Power Query and Power Pivot, enhance its ability to handle large volumes of data, perform intricate analyses, and automate repetitive tasks. As a foundational tool in data analytics, Excel is widely used across industries for tasks ranging from financial forecasting to business intelligence, making it an essential skill for anyone involved in data analysis.
Learning Outcomes in Generative AI
Mastering Excel is essential for a successful and efficient analytical journey. This course introduces powerful tools for seamless data manipulation, visualization, and analysis. Excel's features, including Power Query, Power Pivot, and advanced charting options, provide a robust platform for managing large datasets and performing complex analytics. Expertise in creating pivot tables, and pie charts, and using graphing tools involves cleaning and transforming data to identify trends and patterns effectively.
Block Your Time
20 hours
Self-Paced Sessions
Who Should Sign Up?
- Math, Science and Commerce graduates
- Mid-level executives with no programming knowledge
- Managers with basic programming knowledge
- Anyone with interest in coding
- Students aspiring to become adroit programmers
Training Modules of Generative AI Course
It's critical to understand what Generative AI means before beginning to utilise it. Drawing on the collaborative efforts of scholars and technologists from many domains, our interpretation of the word encompasses the use in artificial intelligence to generate content (such as text, graphics, or presentations) in reaction to user-inputted prompts. The objective of this wide definition is to reflect the rapidly expanding variety of technologies being developed for these reasons. Furthermore, Generative AI is distinct from other kinds of AI in that it uses predefined data sources to generate material in response to a specific prompt. Other forms of AI are employed in a number of contexts, such as gaming, information curation, and vehicle operation.
- Introduction to Vector Databases and Their Role in AI
- Deep Dive into RDBMS (SQL), NoSQL, and Vector Databases. Understand the Pros and Cons of these solutions
- Understanding the vector databases'role in the field of product development with Generative AI.
- Improving the responsiveness and contextual understanding of AI-driven chatbots and virtual assistants with Vector Embeddings
- Using vector databases in image and video generation
- Deriving insights by performing sentiment analysis with Text Mining and NLP
- Learn the Transformer architectures implemented for machine translation and automated summarization
- Learn about the groundbreaking uses of BERT and GPT in automated content creation.
- ImplementingChatbots to enhance interaction quality and operational efficiency for effective customer engagement across industries.
- Learn how LLMs like GPT and BERT are revolutionizing with improved accuracy of information retrieval across digital libraries
- Learn to build specialized models in healthcare, and the financial sector as part of Domain-Specific LLMs
- Discover the role of LLMs in developing sophisticated AI chatbots
- Understand the models that are applied in real-time translation services
- Dive into the use of generative models for original written content generation
- Exploring the World of AI-generated imagery with Dall-E 3 and Imagen
- Learn the creation of realistic video sequences from textual inputs, significantly reducing production time and costs.
- Leveraging tools like ViT and SDXL Turbo in Automated Image Analysis
- Explore the use of advanced AI models like BLIP-2 and Flamingo inenhancing user experience
- Discover how models are used in e-commerce platforms for image-based product search and recommendation systems
- Learnabout the GenAI models for AI-driven object detection in real-time decision-making.
- Explore the capabilities of Generative AI tools like Soundful and Lyria in transforming music production
- Enhancing Multimedia Experiences with the Video-Audio-Text Transformer (VATT)
- Improving audio quality and enabling innovative sound manipulation techniques with models like Distil-Whisper and SALMONN
- enhancing user engagement through tailored listening experiences.
- Enhancing user engagement through tailored listening experiences by automating Music Curation and Personalization with GenAI
- Introduction to learning platforms that respond to both text and image inputs.
- Explore advanced models like LLaVA and GPT-4V for integrating visual and textual information
- Transforming digital marketing, storytelling, and educational content generation with models like Fuyu and Fuyu-8Bthat combine text, image, and video.
- Learn about the importance of diverse datasets like PMD, COCO, and Flickr30K in training AI
- Examine how benchmarks like VQAv2 and TextVQA are used to evaluate the effectiveness of multimodal AI models in generating human-like responses
- Visual search and image-based analysis with innovative models BriVL and Qwen-VL
- Creating enriched multimedia experiences in virtual reality, video editing, and automated captioning with SALMONN
- Develop Generative AI models with AWS services: Amazon Bedrock and SageMaker
- Generating code snippets and entire functions with Amazon CodeWhisperer
- Using high-performance computing services AWS Trainium and Inferentia to Optimizethe training and deployment of AI models
- Innovating with Generative AI on the Cloud:
- Discover the broad spectrum of Generative AI applications on Cloud platforms
Generative AI: Current Trends
Excel remains a cornerstone in data analytics, celebrated for its extensive usage and adaptability. Widely recognized for its intuitive interface and robust features, Excel is the preferred choice for analysts, providing a versatile environment from basic data cleaning to advanced analytics and visualization. Its powerful capabilities, including pivot tables, formulas, and charting tools, empower analysts to process and analyze data efficiently, even without extensive programming skills. The spreadsheet-based structure allows seamless organization and exploration of datasets, accommodating both novice and experienced analysts.
Moreover, Excel's compatibility with diverse data formats and integration capabilities ensures effortless data import and export, aligning with the dynamic nature of analytics workflows. As data analytics evolves, Excel's adaptability and accessibility position it as a vital tool, enabling analysts from various industries to extract meaningful insights and make informed, data-driven decisions.
Consider this scenario: A marketing analyst utilizes Excel to delve into customer purchase patterns. Through pivot tables, they unveil significant sales surges in specific product categories during certain seasons. Formulas aid in calculating customer retention rates, shedding light on valuable insights into customer loyalty. Charting tools visualize these trends, simplifying data comprehension for stakeholders.
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Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Generative AI Certificate is your passport to an accelerated career path.
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"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
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FAQs
The course on Generative AI could have a different length. Generally, it can take anything from a few weeks to many months, depending on how in-depth and complicated the programme is.
A background of computer science, mathematics, and a related discipline is frequently advised, however eligibility requirements may differ. It might help to have a basic understanding of programming and machine learning techniques.
Yes, many courses are designed to accommodate beginners. However, it's advisable to review the course prerequisites to ensure a foundational understanding of relevant concepts.
Yes, most Generative AI courses offer a certificate upon successful completion. This certificate can be a valuable asset to showcase your skills and knowledge in the field.
The cost of the course may vary depending on the platform or provider. It is recommended to check the official website & contact the course provider for accurate cost information.
Some institutions may offer scholarships or financial aid. It's advisable to inquire with the course provider about available options and application procedures.
Many Generative AI courses offer placement assistance, which may include resume building, interview preparation, and job placement support. Details regarding placement assistance can be obtained from the course provider.
The flexibility of the course may vary. Some courses offer part-time options to accommodate individuals with other commitments, while others may be full-time programs.
Generative AI courses often include hands-on projects to apply theoretical knowledge. These projects may involve creating generative models, working with real-world datasets, and solving practical problems.
Many Generative AI courses provide a platform for students to interact, discuss concepts, and collaborate on projects. This fosters a sense of community and allows for networking opportunities.
The course may cover programming languages such as Python and tools like TensorFlow, PyTorch, or other frameworks commonly used in Generative AI. Familiarity with these tools is often beneficial for successful completion of the course.
Some Generative AI courses may have specific hardware or software requirements. This could include a certain level of computational power for running complex models. Ensure that your system meets the specified requirements before enrolling.
Many Generative AI courses are offered online, allowing participants to access lectures and materials remotely. Some courses may also offer in-person sessions or a hybrid model. Check the course details for specific information on the mode of delivery.
Most courses provide access to course materials, including lectures and resources, even after completion. This allows you to review the content for future reference and stay updated on emerging trends in Generative AI.
Assessments and exams are common components of Generative AI courses. These evaluations may include quizzes, assignments, and a final project. Understanding the assessment structure is crucial for successful course completion.
Some courses allow for flexibility in scheduling, allowing participants to pause and resume their studies. Extensions may also be available in certain circumstances. It's important to check the course policies regarding pauses and extensions.
Some platforms may offer a trial period or provide access to a demo version of the course. This allows prospective students to explore the course structure and content before making a commitment.
Generative AI courses typically provide support through forums, discussion groups, or dedicated channels where participants can seek help from instructors or interact with fellow students. Understanding the available support channels is important for a smooth learning experience.
The course may prepare participants for various roles in the field of artificial intelligence, such as machine learning engineer, data scientist, or AI researcher. Understanding the potential career paths can help align your expectations with the goals of the course.
Considering how quickly artificial intelligence is developing, it's critical to understand if the course material is updated often to reflect the most recent advancements in Generative AI. Courses that place a high priority on being up to date offer more worthwhile and relevant learning opportunities.
Jobs in the field of Generative AI
Generative AI jobs involve various roles and expertise levels, including theoretical research, machine learning model development, data analysis, predictive modeling, and software solutions. They also focus on ethical implications, market management, and AI-driven products. The field is interdisciplinary, requiring individuals with backgrounds in computer science, mathematics, statistics, engineering, and related fields. Roles can vary based on industry, with applications in healthcare, finance, gaming, and art. As AI advances, new roles and specializations will emerge, offering a broad spectrum of career possibilities.
Salaries for Generative AI Professionals
Generative AI professionals' salaries can vary significantly based on factors like experience, location, skills, education, and industry. Entry-level professionals can expect salaries ranging from $60,000 to $100,000 per year. Mid-level professionals can earn between $100,000 and $150,000 annually. Those with significant experience, specialized skills, or leadership roles can command salaries of $150,000 to $250,000 or more, especially in tech hubs or high-demand areas. These figures are approximate and can be influenced by location, demand, company financial standing, and expertise.
Generative AI Projects in India
India is witnessing a surge in Generative AI projects, with companies and research institutions collaborating with industry and government. Infosys, a leading IT firm, has invested in AI-powered solutions, including generative models, for various industries. Wipro's HOLMES platform also uses Generative AI for various applications. Sigmoid, another Indian AI company, focuses on AI solutions for marketing, finance, and healthcare. Niramai uses AI for early breast cancer detection. Accenture, a global consulting firm, has AI labs in India for global clients. The AI landscape in India is rapidly evolving, with startups and research institutions contributing to AI projects in various sectors.
Role of Open Source Tools in Generative AI
Open source tools are crucial in advancing Generative AI research and development by democratizing access to resources, fostering collaboration, and accelerating innovation. They make advanced AI techniques accessible to a wider audience, encouraging experimentation and learning. Open source projects thrive on community contributions, allowing developers to share ideas, contribute code, and improve tools. This collaborative effort often leads to rapid advancements and innovations, pushing the boundaries of Generative AI.
Modes of Training for Generative AI Course
Generative AI offers various training modes, combining theoretical understanding with hands-on practice. Connecting with professionals, finding mentors, participating in AI hackathons, and watching lectures on it can provide valuable insights. Engaging in AI-related competitions and hackathons can also enhance practical application.
Industry Application of Generative AI
Generative AI is utilized in various industries for creating, simulating, and generating new content. It can test autonomous vehicles without physical prototypes, generate scripts, music, art, and special effects for movies, games, and music compositions, and recommend content based on user preferences
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Student Voices
Sunil Kumar Behera
5 months agoI've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
Balu Malli Reddy
5 months agoI'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
Manu R
10 months agoThe data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
J Vivek
7 months agoOne of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
Kattamuri Mallikarjuna Rao
8 months agoThe teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
Mounika Devalamkadi
6 months agoIt was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
Kanishta Pal
5 months agoIt was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
Gani Ganesh
4 months agoI found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
Balasubramanian Siddnipalli
7 months ago360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
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8 months agoThe data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
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7 months agoGreat institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
