Employee Development Training Program

https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Mon, 22 Dec 2025 11:26:22 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 Mastering the Future: How DevOps Training Drives AI and Cloud Integration https://project.bigdatatrunk.com/mastering-the-future-how-devops-training-drives-ai-and-cloud-integration/ https://project.bigdatatrunk.com/mastering-the-future-how-devops-training-drives-ai-and-cloud-integration/#respond Tue, 26 Aug 2025 06:33:11 +0000 https://www.bigdatatrunk.com/?p=60714 Why_Cloud_and_DevOps_Must_Fuse AI, cloud and DevOps are revolutionizing the operations of modern businesses to innovate, operate and deliver value. The transformation…

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AI, cloud and DevOps are revolutionizing the operations of modern businesses to innovate, operate and deliver value. The transformation has faster software release, predictive automation, and efficient-scale infrastructure. In the fields of finance, healthcare, retail, and entertainment, these technologies are now widely used to promote competitiveness and resilience. Skills that bridge these dimensions have, therefore, experienced an exploding demand.

Hence, DevOps Training engages the candidate in developing automation skills, cloud-native development, and AI-driven operations—all positions that are highly sought after in today’s tech world.

The Importance of these Technologies

Modern digital enterprises are under constant pressure to speed up their delivery cycle, operate faster and smarter, and scale with little to no friction. This is where cloud, DevOps, and AI come together:

Cloud delivers on-demand infrastructure, scalable storage, and global access.
DevOps shares a collaboration between Development and Operations teams to automate the delivery of software and infrastructure
AI affords predictive insights, intelligent automation, and smarter user experiences.

Together, they promise to provide businesses with continuous delivery embedded with intelligence and resilience, all of which are critical to industries like finance, healthcare, e-commerce, and media.

DevOps Training as the Foundation for Transformation

DevOps acts like a modern enterprise workflow engine. It links code to deployment, testing to production, and even the teams with the outcomes. In the age of cloud-native technologies, DevOps is helping organizations roll out new features faster, thereby minimizing downtime and ensuring the best resource utilization.

Professionals who have been through proper DevOps training understand how to:

Implement and maintain CI/CD pipelines
Deploy and monitor applications in cloud environments
Automate infrastructure with tools such as Terraform and Ansible
Work with containers and orchestration platforms like Docker and Kubernetes
Collaborate with version control and through agile methodologies

These are baseline requirements nowadays in tech roles.

Learn in depth about DevOps by exploring tools like Getting started with DevOps on AWS

The Cloud as the Foundation

Cloud providers such as AWS, Azure, and Google Cloud have changed the manner in which businesses host, scale, and secure their digital assets. Cloud computing caters to DevOps in providing:

Elastic resources that respond to traffic needs
DevOps-ready toolsets that integrate with the CI/CD pipeline with ease
Backups are automated, audit security, and control mechanisms
Deployable in the world for low-latency anytime access

Cloud is also the environment where experiments and quick rollouts take place so that the teams can safely innovate in a cost-effective manner. Expand your knowledge for Cloud platforms and services.

The Rise of AI-Driven DevOps (AIOps)

Artificial Intelligence enhances DevOps by applying automation that exceeds scripts and scheduled tasks. AI looks for patterns in deployment logs, predicts failures, and even suggests rollback strategies.

Some of the real-world uses could be:

Analyze logs with AI to discover abnormality before disaster
Test case generation and bug prediction from Machine Learning
Incident response systems that intelligently route alerts and suggest remediation
Capacity planning that is predictive based on past user behavior

AI makes DevOps not only an active but an intelligent process. Explore more about AIOPS

What This Means to You

Whether you’re a student aspiring for a career in technical fields, or a developer wishing to specialize in one domain, or being an IT professional shifting from one traditional role to a modern role, DevOps training truly is that portal to understanding and contributing to the power ecosystem.

Learn DevOps for AI and Cloud:

Stay relevant in an ever-evolving market.
Gain hands-on experience with tools used by the best companies.
Become part of dynamic teams that create synergy to innovate across industries.

Career Outlook and Opportunities

As businesses turned digital-first model, series then skyrocketed in demand for AI-cloud-DevOps professionals, with:

1. DevOps Engineer: Works on automating and streamlining software development and IT operations through CI/CD, infrastructure as code, and monitoring so that codes get deployed fast and reliably.

2. Cloud Architect: Designs and manages scalable, secure, and efficient cloud infrastructure and services according to business needs, mostly spanning through various cloud providers.

3. MLOps Engineer: An MLOps engineer is a bridge between data science and operations. They build and maintain automated and scalable pipelines for training, deployment, monitoring, and governance of machine learning models.

4. Site Reliability Engineer: Combines software engineering and IT operations to enhance system reliability, performance, and scalability, often reaching into infrastructure as code to manage incident response.

5. AI/DevOps Platform Specialist: Works on the design and maintenance of the platform supporting frameworks that integrate AI workloads and DevOps activities, facilitating the development, deployment, and scaling of AI solutions within a robust infrastructure ecosystem.

Looking Ahead: What’s Next?

AI, cloud, and DevOps are no longer isolated domains. They create a connected ecosystem in a modern business environment for fast, smart, and scalable software delivery. With businesses going ahead implementing the trio, DevOps Training now becomes not only a skill set but a mindset for the days ahead.

Advance Your Skills in AI, Cloud & DevOps Today

Take the leap into one of today’s most dynamic and rapidly evolving fields. Unlock Our Microsoft Certified Devops Engineer Expert.

Join the DevOps Training Bootcamp at Big Data Trunk. Learn from industry-proven experts, work on real projects, and get certified to create a resume that stands out.

FAQ

Q1. How long will one take to be job-ready with DevOps training?

One will be job-ready in 3-6 months if one is disciplined enough with the learning process, can do hands-on work, and has at least 3 completed projects in his/her portfolio.

Q2. Can I learn DevOps even if I don’t have a technical background?

Yeah! DevOps is not just for coders. Many tools are low-code or configuration-based. The positions are available to some people in operations, QA, or cloud backgrounds as well.

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]]> https://project.bigdatatrunk.com/mastering-the-future-how-devops-training-drives-ai-and-cloud-integration/feed/ 0 The Human Side of Digital Transformation https://project.bigdatatrunk.com/the-human-side-of-digital-transformation/ https://project.bigdatatrunk.com/the-human-side-of-digital-transformation/#respond Fri, 02 May 2025 16:18:56 +0000 https://www.bigdatatrunk.com/?p=58709 Download PDF Introduction Digital transformation (DT) is not merely about embracing new technologies—it’s about transforming the way people work, interact,…

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Introduction

Digital transformation (DT) is not merely about embracing new technologies—it’s about transforming the way people work, interact, and innovate. As companies become more dependent on digital tools to remain competitive, the human side of transformation tends to take a backseat. But it’s the human side of digital transformation that can either make or break an organization’s success.

As you prepare to instill digital changes within your own organization, it’s vital that you grasp the psychological, cultural, and operational changes that your people must undergo. Effective digital transformation is more than just moving to new technology; it involves a carefully crafted strategy for coping with change at the people level.

1. Establish a Clear Vision and Purpose

In order for digital transformation to be a success, you must link your technological progress to an inspiring vision. In simple terms, individuals must know why the change is taking place. As you navigate your organization through this process, you need to convey the reason for the transformation in a clear manner. This might be anything from enhancing customer experience to achieving operational efficiencies. If employees have a clear link between their job and the overall organizational objectives, they are more likely to accept change.

Take the time to describe how each technological improvement will enable your team to produce improved results. The more that your team understands the purpose of the transformation, the more likely they will be to embrace new tools and processes. This collective sense of mission is a strong motivator for everyone to buy into the change.

2. Empower Your Team with Ongoing Learning

Perhaps the most prevalent obstacle to effective digital transformation is inadequate digital skills across the workforce. It won’t suffice to simply hand over new technology and hope your staff adopts it. To surmount this, offer ongoing learning programs that support the goals of the transformation. Upskilling and training programs can fill the knowledge gap and ready your staff for the future.

In addition to learning new tools, it’s important to foster a mindset that’s open to digital change. Encourage a culture where learning is part of the process, and failure is seen as an opportunity to improve. The more your team feels equipped to handle new technologies, the smoother the transition will be.

3. Encourage Collaboration and Communication

Digital transformation isn’t just impacting a single department but the entire company. As you introduce new digital tools and workflows, make the space one that prioritizes collaboration. Open channels of communication among departments and teams to keep them all aligned. This can drastically enhance the efficiency and speed at which the process of transformation gets completed.

In addition, when groups work together and exchange information, they can more effectively grasp how digital solutions will affect their daily work. This type of communication also keeps frustration and resistance at bay since employees are more likely to believe in changes when they are included in the discussion.

4. Identify and Reward Flexibility

One of the most effective ways to encourage your team to accept digital transformation is by rewarding and recognizing those that perform well when adapting to change. Publically praising individuals and teams that are flexible and passionate about the new digital processes and tools creates an environment of growth and innovation.

Rewards for adaptability not only increase morale but also provide an example to others to adapt. It’s critical to demonstrate that digital transformation isn’t merely a top-down effort but something that everyone has a stake in. This feeling of collective responsibility can increase the uptake of new systems and encourage a more connected workforce.

5. Focus on Employee Well-being

The people aspect of digital transformation extends beyond collaboration and skill development—it also includes taking care of the emotional and mental well-being of your staff. As you implement new technologies, some members of your team might feel overwhelmed or anxious about the speed of change. You need to address these issues ahead of time by providing support and a safe environment for employees to share their difficulties.

Fostering a supportive environment during times of change can significantly improve employee engagement and retention. Ensure that you’re listening to their feedback, addressing their concerns, and offering mental health resources when needed. This not only helps your employees adapt but also strengthens the overall culture of the organization.

Conclusion

Digital transformation is not a technological problem; it’s a human one. It needs to be planned carefully, communicated clearly, and centered around people at all stages of the process. If you understand and solve the human aspect of digital transformation, you position your organization for long-term success.

If you want to make your organization’s digital transformation easier and faster, BigDataTrunk has the solutions and expertise you require. From data handling to actionable intelligence, BigDataTrunk gives you the means to propel your digital journey confidently. Ready to revolutionize your business? Begin with BigDataTrunk today and unleash the full potential of your digital future!

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]]> https://project.bigdatatrunk.com/the-human-side-of-digital-transformation/feed/ 0 The Age Of Generative AI Transforming Creativity https://project.bigdatatrunk.com/the-age-of-generative-ai-transforming-creativity/ https://project.bigdatatrunk.com/the-age-of-generative-ai-transforming-creativity/#respond Wed, 29 Jan 2025 14:13:02 +0000 https://www.bigdatatrunk.com/?p=55274 The transformative power of
generative artificial intelligence,
which reshapes the boundaries
between creativity, automation,
and human-computer interaction,
is a source of inspiration and
intrigue in our modern age.

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Introduction

The transformative power of generative artificial intelligence, which reshapes the boundaries between creativity, automation, and human-computer interaction, is a source of inspiration and intrigue in our modern age.

Unlike most other AI models designed to perform specific functions, generative AI systems create text, images, and music content or use large amounts of training data to generate new outputs.

One needs to be aware of the underlying principles, applications, and the impact this technological revolution has on everyday life.

What is Generative AI?

Generative AI represents a branch of artificial intelligence focused on
generating new content rather than just analyzing existing data or carrying out pre-programmed activities.

Fueled by the most advanced machine learning methods, intense learning, and neural networks, generative AI detects patterns and structures in data to deliver outputs that mirror the subtlety of human-like creativity.

Text models like GPT for generating text and image models like DALL·E are prime examples of generative AI. These models learn from vast amounts of data and leverage computational power to produce high-quality, human-like outputs.

Why is it Important to Take a Course in Generative AI?

1. Comprehensive Understanding
Generative AI is an all inclusive and rapidly evolving field. A structured course provides learners with the core concepts of essential subjects like neural networks, transformers, and generative adversarial networks. This gives the learners a proper grasp of the theoretical and practical sides.

2. Hands-On Experience
These courses typically involve numerous practical projects, providing learners with the hands-on experience necessary to understand how generative AI models function in real-world scenarios, and where the opportunities for innovation lie.

3. Career Advancement

Generative AI has become a game-changer, transforming industries and creating a high demand for technology, healthcare, marketing, and finance experts. This presents a wealth of career opportunities and the potential for significant career advancement.

4. Ethical and Responsible AI Development
These courses should teach one about the ethical dimensions of generative AI. Responsible AI development is emphasized across most of these courses, training learners to address challenges like bias, misinformation, and data privacy.

5. Stay Ahead in a Competitive Market
The more companies become deeply embedded with generative AI solutions, the greater the need to keep up with new technologies and trends. A course will ensure that learning remains competitive and relevant in the workforce.

Generative AI is an innovation driver for the machines that create meaningful content and transform entire industries. The applications vary and are very powerful across multiple domains. Here are the major applications of generative AI for each of the critical areas:

1. Creative Content Generation
Generative AI transforms creative industries through its ability to automate text, images, and videos. For example, with DALL·E and MidJourney, it can draft articles and poetry and create fantastic, beautiful visuals. It can make lifelike animations for entertainment and educational purposes. This has democratized creativity, thus enabling amateur and professional people to improve their creativity.

2. Healthcare
Generative AI feeds into health innovation through helping diagnostics and treatment. It can simulate compounds to hasten the discovery of drugs at a much lesser cost. AI enhances medical images so scans appear more straightforward for better detection of anomalies. Additionally, it designs individual plans for better outcomes and quality in health. Applications of Generative AI

3. Marketing and Advertising
Generative AI changes the face of marketing in the creation of content. That is, customized advertisements lead to more engagement. AI can write product descriptions, slogans, and even email campaigns for marketers, freeing up time. It also empowers businesses to analyze preferences, thus creating custom messages that lead to better strategies and stronger relationships.

4. Gaming and Entertainment
Generative AI creates an immersive experience in the gaming and entertainment industry. The use of generative AI in game design allows for more realistic characters, environments, and dynamic storylines. Tools like AIVA help composers to come up with new soundtracks for films and games. AI helps scriptwriting, which helps writers develop a more exciting plot and dialogue to attract audiences. All these applications make interactive, engaging creative projects.

5. Education and Training
Generative AI improves education by tailoring learning. It generates interactive lessons that break down a very hard topic. AI tutors can mimic one-to-one learning and give immediate feedback. Moreover, it helps summarize content, which enables learners to grasp the main concepts faster. All these advancements make it possible to enhance outcomes and ease access to education.

Conclusion

Unlock the power of your data with BigDataTrunk! Explore cutting-edge solutions in Big Data, AI, and Analytics to drive innovation and transform your business. Partner with us today for training, consulting, and technology services tailored to your unique needs. Empower your journey to data-driven success—contact BigDataTrunk now!

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]]> https://project.bigdatatrunk.com/the-age-of-generative-ai-transforming-creativity/feed/ 0 Certification vs. Experience https://project.bigdatatrunk.com/certification-vs-experience/ https://project.bigdatatrunk.com/certification-vs-experience/#respond Wed, 29 Jan 2025 09:47:18 +0000 https://www.bigdatatrunk.com/?p=55084 Innovation, competition and speed define tech. The key question for success Do you need experience or certification? Both offer advantages in this fast-paced field.

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Introduction

Innovation, competition, and speed: three words that define the tech industry. But for those who want to win, one question fills the line of questioning: Do you need experience or certification?
Both can be valuable, but the answer often hinges on the specific role you’re applying for, the sort of career track you’re on, and crucially, the employer’s perspective. Let’s dissect this:

The Value of Certifications

1. Demonstrating Knowledge and Credibility

Certifications are not just about proving your skills, they also provide employers with much-needed assurance.

Whether it’s a CompTIA, an AWS, or a Microsoft certification, these credentials demonstrate your technical competency and ability to function effectively at work, giving employers confidence in their hiring decisions.

Example: Sarah landed her very first job as a cloud engineer just a couple of weeks after completing her AWS Solutions Architect certification.

This certification was validated and confirmed in the field, demonstrating high effectiveness despite minimal years of practical experience.

Similarly, John, a software developer, secured a senior position at a leading tech company due to his extensive experience in developing complex applications, even without formal certifications.

Why It Matters: Certifications are not just pieces of paper, they are powerful tools that can boost your confidence and open doors to new opportunities.

They are particularly valuable for newcomers in the tech field, empowering them to change fields or showcase their skills in small niches.

2. Staying Relevant in a Rapidly Changing Industry

Trends in the technology world are very fast. The certification keeps the working professionals abreast of the different tools and frameworks.

Example: John was a seasoned, experienced developer highly well-read in the domain. He decided to get Kubernetes certification as his company adopted containerized applications strategically during the last few months.

That is one significant effort that helped him position himself in the top leadership role for the new and innovative infrastructure the organization was adopting.

Impact: The continuous pursuit of certifications demonstrates your unwavering dedication to personal and professional growth and your ability to adapt to an industry constantly evolving and changing.

3. Opening Doors to Opportunities

Many companies list certifications as prerequisites in job descriptions. Certifications often help candidates pass applicant tracking systems (ATS) and secure interviews.

Example: A job posting for a cybersecurity analyst may explicitly require a Certified Information Systems Security Professional (CISSP) credential, ensuring certified professionals are prioritized.

The Importance of Experience

1. Proving Hands-On Capability

While certifications validate theoretical knowledge, experience demonstrates your ability to apply those skills in real-world scenarios. Employers value candidates who can hit the ground running without extensive training.

Example: Maria, a front-end developer with three years of experience, was hired over another candidate with similar certifications but no industry exposure. Her portfolio of completed projects showcased her problem-solving skills and technical expertise.

Why It Matters: Experience highlights practical skills, troubleshooting abilities, and the capacity to work effectively under pressure.

2. Building Soft Skills and Industry Insights

This enhances some of the most valued soft skills, often in communications, teamwork, and time management.

Instead of achieving experience through formal certification, it gives individuals a better understanding of workflows and the specific challenges of their respective industries.

For instance, working on open-source projects, participating in hackathons, or contributing to online communities can all provide valuable experience in the tech industry.

Example: David was a database administrator working for a Fortune 500 company that boasts prestige. He gained precious learnings and extensive knowledge about the complex issues regarding systems at the enterprise level.

He especially gained extensive experience in his tenure, which helped him elevate his skills and placed him in leadership positions in various industry roles.

Impact: Experience creates a well-rounded professional who can work with complex projects and multi-diverse teams.

3. Creating a Robust Professional Network

Experience brings excellent opportunities to network with peers, mentors, and industry experts. Those contacts may eventually mean potential collaborations, referrals, and future opportunities.

Example: Many years of freelancing as a data analyst for Emily gave her a considerable
portfolio demonstrating knowledge and accomplishments. While doing so, she maintained a record of client connections, and those who recognized her exceptional abilities and dedication later recommended her for the highly sought-after full-time position within their organization.

Certification vs. Experience: A Balanced Perspective

While certifications validate skills and knowledge, experience demonstrates the ability to apply them effectively. Most tech professionals find that a combination of both is ideal for long-term career growth.

When Certifications Matter More

Entry-Level Roles: Certifications often help newcomers stand out in a crowded applicant pool.
Switching Fields: For career changers, certifications provide a foundation in new technologies.
Highly Regulated Industries: Roles in cybersecurity, cloud computing, and networking often
require specific certifications.

When Experience Takes Center Stage

Senior or Specialized Roles: Employers value proven expertise and a history of delivering
results.
Creative or Innovative Fields: Roles like UX design or software development often prioritize
portfolios and problem-solving ability.
Leadership Positions: Experience leading projects and teams often outweighs certifications.

Conclusion

At BigDataTrunk, we believe in the power of both certifications and
hands-on experience. Our AI-driven training platform offers dynamic, personalized learning paths that equip your team with the skills and knowledge they need to thrive in today’s tech landscape.
Whether you’re looking to enhance certifications or gain real-world experience, BigDataTrunk’s tailored solutions are designed to help you excel.

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]]> https://project.bigdatatrunk.com/certification-vs-experience/feed/ 0 Generative AI for Data Science https://project.bigdatatrunk.com/generative-ai-for-data-science/ https://project.bigdatatrunk.com/generative-ai-for-data-science/#respond Wed, 04 Sep 2024 05:33:22 +0000 https://www.bigdatatrunk.com/?p=53595 In recent years, the rapid evolution of artificial intelligence has brought us to the era of generative AI, a subset of AI that goes beyond recognizing patterns to creating entirely new content.

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Introduction:

Automating Data Analysis And Visualization

In recent years, the rapid evolution of artificial intelligence has brought us to the era of generative AI, a subset of AI that goes beyond recognizing patterns to creating entirely new content. From art and music to text and design, generative AI has proven its versatility and power. But one of the most exciting and transformative applications of this technology lies in the realm of data science, where it is poised to revolutionize data analysis and visualization.

The Role of Generative AI in Data Science

Automating Data Analysis

Out of all the tasks that are required to be performed in a data science workflow the one that is the most time-consuming is data analysis for the discovery of meaningful patterns and correlations. It usually means exploratory data analysis (EDA) where data scientists start to check the data set.

Enhancing Visualization with Generative AI

Data science is more than just visualization; it is a way of transforming complex data into an easily understandable format. Good visualization can sometimes be the key to discovering patterns and correlations or drawing insights that are unobserved in the case of raw data. Nonetheless, visualizing complex information involves technical skills and a good sense of design, which is a combination that not every data scientist has.

Generative AI can fill this void by automating the creation of complex visualizations. AI-driven software can explore the data and create charts, graphs, and other visuals that emphasize the important parts of the data. For example, generative AI can not only select the best chart for a specific data set but also adjust its design to improve readability and add annotations.

Real-World Applications

The use of generative AI in data science is already a hot potato across different fields. One such example can be taken from the area of finance, where AI-based tools are being deployed to conduct an analysis of the market data and give a forecast of the stock movement, creating a visual report which the investors can use to make the right decisions. Generative AI in healthcare is also helping to analyze data related to patients and visualize the trends in disease outbreaks or treatment efficacy, thus enabling the public health sector to make the best decisions.

Personally, via data of the customer, the generative AI can produce visual profiles of the customer segments such as the details of their gender and age, the geographical area where the customers are located, the market shares of the brands purchased, the lifestyle, and other data, thus, making it easier for the businesses to position the marketing campaigns to suit them. It is this kind of personalization that would be out of the question should it be done manually and particularly when it comes to large and complex data sets.

The Future of Generative AI in Data Science

As EEG ins the generative to AI which is in the state of and continue to develop, its role in the data scientist is a fundamental one. However, we can expect to see more sophisticated models that accomplish tasks in more parts of the data analysis and visualization process. This will lead to a more democratized use of data science, enabling people from diverse backgrounds to use data in their everyday work.

Nevertheless, it should be made clear that although generative AI can conduct a majority of the processes, it is never a substitute for intuition and expertise that only a human can provide. Data scientists will still be the ones who interpret the results, form the correct questions, and make decisions based on the AI-generated insights.

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]]> https://project.bigdatatrunk.com/generative-ai-for-data-science/feed/ 0 New Trainings Offering – September 2024 https://project.bigdatatrunk.com/new-trainings-offering-september-2024/ https://project.bigdatatrunk.com/new-trainings-offering-september-2024/#respond Tue, 03 Sep 2024 03:58:54 +0000 https://www.bigdatatrunk.com/?p=53571 Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for September 2024. Please Contact us for any questions or help needed.

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Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for September 2024. Please Contact us for any questions or help needed.

CATEGORY	CLASS TITLE	DURATION	EXPLORE
Cyber Security	Quantum Cryptography	3 Days	Read More
AI & Data Science	Responsible AI: Principles, Practices, and Applications	Half Day	Read More
Software Programming	Introduction to Node.js for Beginners	1 Day	Read More
Software Programming	HTML and CSS for Beginners	1 Day	Read More
Software Programming	Advanced Node.js for Developers	2 Day	Read More

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]]> https://project.bigdatatrunk.com/new-trainings-offering-september-2024/feed/ 0 New Trainings Offering – August 2024 https://project.bigdatatrunk.com/new-trainings-offering-august-2024/ https://project.bigdatatrunk.com/new-trainings-offering-august-2024/#respond Tue, 13 Aug 2024 05:29:57 +0000 https://www.bigdatatrunk.com/?p=53315 Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for August 2024. Please Contact us for any questions or help needed.

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Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for August 2024. Please Contact us for any questions or help needed.

CATEGORY	CLASS TITLE	DURATION	EXPLORE
Bootcamp	Network Engineer bootcamp	8 Weeks	Read More
AI & Data Science	Securing the Future: Generative AI and its Security Implications	1 Day	Read More
AI & Data Science	Zero-Coding AI Applications	2 Days	Read More
AI & Data Science	Statistics for Data Science	2 Days	Read More
AI & Data Science	Generative AI in NLP	2 Days	Read More
AI & Data Science	Byte-Sized ML Series (handling imbalanced datasets)	90 Minutes	Read More
AI & Data Science	Enhanced Machine Learning	1 Day	Read More
Cyber Security	Footprinting and Reconnaissance	2 Days	Read More
Cyber Security	Web Server Hacking and Security	1 Day	Read More
Project Management	Introduction to Jira	3 Days	Read More
Project Management	Advanced Jira Mastery: Customization, Reporting, and Future Trends	3 Days	Read More

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]]> https://project.bigdatatrunk.com/new-trainings-offering-august-2024/feed/ 0 New Trainings Offering – July 2024 https://project.bigdatatrunk.com/new-trainings-offering-july-2024/ https://project.bigdatatrunk.com/new-trainings-offering-july-2024/#respond Mon, 08 Jul 2024 06:38:23 +0000 https://www.bigdatatrunk.com/?p=52899 Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for July 2024. Please Contact us for any questions or help needed.

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Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for July 2024. Please Contact us for any questions or help needed.

CATEGORY	CLASS TITLE	DURATION	EXPLORE
AI & Data Science	GenAI Zero To One	Half Day	Read More
AI & Data Science	Machine Learning – Immersive Bootcamp	5 Days	Read More
Cyber Security	Cyber Security Mini Bootcamp	5 Days	Read More
Cyber Security	System Hacking And Defense	1 Day	Read More
Cyber Security	Offensive Security Certified Professional (OSCP) Prep Methodology	5 Days	Read More
Cyber Security	Network Scanning And Vulnerability Assessment	2 Days	Read More
Cyber Security	Mastering Honeypots: Advanced Techniques For Cybersecurity Defense	1 Day	Read More
Cyber Security	Web Penetration Testing & Bug Hunting	2 Days	Read More

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]]> https://project.bigdatatrunk.com/new-trainings-offering-july-2024/feed/ 0 New Trainings Offering – June 2024 https://project.bigdatatrunk.com/new-trainings-offering-june-2024/ https://project.bigdatatrunk.com/new-trainings-offering-june-2024/#respond Wed, 12 Jun 2024 07:03:50 +0000 https://www.bigdatatrunk.com/?p=52647 Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for June 2024. Please Contact us for any questions or help needed.

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Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for June 2024. Please Contact us for any questions or help needed.

CATEGORY	CLASS TITLE	DURATION	EXPLORE
AI & Data Science	RAG – Retrieval Augmented Generation	Half Day (3 Hrs)	Read More
Bootcamp	Business UAT – Bootcamp	6 Weeks	Read More
BI / Visualizations	Alteryx Fundamentals	1 Day	Read More

The post New Trainings Offering – June 2024 first appeared on Big Data Trunk.

]]> https://project.bigdatatrunk.com/new-trainings-offering-june-2024/feed/ 0 New Trainings Offering – May 2024 https://project.bigdatatrunk.com/new-trainings-offering-may-2024/ https://project.bigdatatrunk.com/new-trainings-offering-may-2024/#respond Fri, 10 May 2024 15:12:25 +0000 https://www.bigdatatrunk.com/?p=52557 Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for May 2024. Please Contact us for any questions or help needed.

The post New Trainings Offering – May 2024 first appeared on Big Data Trunk.

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Big Data Trunk believes in continuous improvement and adding new offerings for our clients and community. Below are the new additions for May 2024. Please Contact us for any questions or help needed.

CATEGORY	CLASS TITLE	DURATION	EXPLORE
AI & Data Science	Exploring Large Language Model’s With Python	Half Day (3 Hrs)	Read More
AI & Data Science	A Primer On OpenAI & ChatGPT API’s	Half Day	Read More
AI & Data Science	Exploring Gemini AI	Half Day	Read More
AI & Data Science	TabNine Basics	Half Day	Read More
AI & Data Science	GitHub Co-Pilot Master Class	1 Day	Read More

The post New Trainings Offering – May 2024 first appeared on Big Data Trunk.

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